Personalized medicine, also known as precision medicine, is an innovative approach to healthcare that takes into account individual variability in genes, environment, and lifestyle for each person. The goal of personalized medicine is to tailor medical decisions and treatments to the specific characteristics of each patient, maximizing therapeutic benefits while minimizing adverse effects. Biomarkers play a crucial role in achieving this personalized approach. Heres the background and significance of biomarkers in personalized medicine Biomarkers are measurable indicators that can be used to evaluate physiological, pathological, or pharmacological responses to disease or treatment. These can be genetic, molecular, biochemical, or imaging based markers that provide information about a patients health status, disease progression, or treatment response. The emergence of sophisticated biotechnological tools, such as genomics, proteomics, metabolomics, and imaging technologies, has revolutionized the field of medicine. These advancements enable the identification and analysis of biomarkers with greater precision and efficiency. K. Pavani | Jakkula Malavikabindu | Dayyala Naveen "Advances in Biomarkers and Personalized Medicine" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-4, August 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59709.pdf Paper Url:https://www.ijtsrd.com/medicine/other/59709/advances-in-biomarkers-and-personalized-medicine/k-pavani
Advances in Precision Medicine The Role of Genomic Profiling in Personalized ...ijtsrd
Precision medicine has revolutionized healthcare by tailoring medical treatments to individual patients based on their unique genetic makeup. Genomic profiling plays a crucial role in enabling personalized healthcare by identifying genetic variations and mutations that influence disease development, progression, and response to treatment. This review article provides an overview of the advances in precision medicine and highlights the significance of genomic profiling in personalized healthcare. It discusses the applications of genomic profiling in cancer treatment, rare diseases, and pharmacogenomics, emphasizing the identification of driver mutations, targeted therapies, and predictive biomarkers. Furthermore, it addresses the challenges and limitations associated with genomic profiling, such as ethical considerations, technical challenges, and accessibility barriers. The article also explores future directions and emerging technologies in genomic profiling, including advances in techniques, integration with other omics data, and the role of artificial intelligence. Overall, understanding the role of genomic profiling in precision medicine enhances our ability to deliver tailored and effective healthcare interventions. Chelluri Pavan Sandeep | Samy Yombo Kasonga | Anupoju Sowmya "Advances in Precision Medicine: The Role of Genomic Profiling in Personalized Healthcare" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-4, August 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59629.pdf Paper Url:https://www.ijtsrd.com/pharmacy/other/59629/advances-in-precision-medicine-the-role-of-genomic-profiling-in-personalized-healthcare/chelluri-pavan-sandeep
Personalized Medicine and Predictive Analytics A Review of Computational Methodsijtsrd
Personalized medicine, driven by advancements in computational methods and predictive analytics, has emerged as a revolutionary approach to healthcare. This review provides an in depth exploration of the foundations, key principles, and computational techniques that underpin personalized medicine. It highlights the significance of personalized medicine in tailoring treatments to individual patients, optimizing healthcare outcomes, and enhancing the quality of care. Additionally, this review discusses the challenges and future prospects of personalized medicine in the context of predictive analytics, offering insights into the evolving landscape of healthcare. Transitioning from the foundational understanding of personalized medicine, we delve into the pivotal role of predictive analytics within this paradigm. Predictive analytics, a branch of data science, is the driving force behind the precision and individualization inherent in personalized medicine. It harnesses the power of advanced computational methods and algorithms to process vast datasets and generate predictions about future events, in this case, patient outcomes and treatment responses. Snowza Chrysolite. D "Personalized Medicine and Predictive Analytics: A Review of Computational Methods" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-5 , October 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59982.pdf Paper Url: https://www.ijtsrd.com/medicine/other/59982/personalized-medicine-and-predictive-analytics-a-review-of-computational-methods/snowza-chrysolite-d
What is biomarker?
What is the purpose of biomarker
Processes of biomarker development?
Types of Biomarkers
What is biomarker testing for cancer treatment?
Uses of Biomarkers in Cancer Medicine
Uses of Biomarkers in Cancer Drug Discovery
introduction
What is biomarker?
What is the purpose of biomarker
Processes of biomarker development?
Types of Biomarkers
What is biomarker testing for cancer treatment?
Uses of Biomarkers in Cancer Medicine
Uses of Biomarkers in Cancer Drug Discovery
Precision medicine is an emerging strategy that considers individual variability in genes, environment, and lifestyle to diagnose, treat, forecast, and prevent disease. As regulatory health authorities begin to develop clearer regulatory pathways in precision medicine, industries must prepare to swiftly adopt to any regulatory changes. This white paper aims to provide a broad overview on the following key topics in precision medicine:
1. Genomics and Pharmacogenetics
2. Precision Medicine vs Personalized Medicine
3. Foundation of Precision Medicine as A Treatment Tool
4. Examples of Precision Medicine as A Treatment, Predictive, and Preventative Tool
5. Precision Medicine and Cancer
6. Challenges, Next Step & Opportunities in Precision Medicine
7. Regulatory insight on Precision medicine
Advances in Precision Medicine The Role of Genomic Profiling in Personalized ...ijtsrd
Precision medicine has revolutionized healthcare by tailoring medical treatments to individual patients based on their unique genetic makeup. Genomic profiling plays a crucial role in enabling personalized healthcare by identifying genetic variations and mutations that influence disease development, progression, and response to treatment. This review article provides an overview of the advances in precision medicine and highlights the significance of genomic profiling in personalized healthcare. It discusses the applications of genomic profiling in cancer treatment, rare diseases, and pharmacogenomics, emphasizing the identification of driver mutations, targeted therapies, and predictive biomarkers. Furthermore, it addresses the challenges and limitations associated with genomic profiling, such as ethical considerations, technical challenges, and accessibility barriers. The article also explores future directions and emerging technologies in genomic profiling, including advances in techniques, integration with other omics data, and the role of artificial intelligence. Overall, understanding the role of genomic profiling in precision medicine enhances our ability to deliver tailored and effective healthcare interventions. Chelluri Pavan Sandeep | Samy Yombo Kasonga | Anupoju Sowmya "Advances in Precision Medicine: The Role of Genomic Profiling in Personalized Healthcare" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-4, August 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59629.pdf Paper Url:https://www.ijtsrd.com/pharmacy/other/59629/advances-in-precision-medicine-the-role-of-genomic-profiling-in-personalized-healthcare/chelluri-pavan-sandeep
Personalized Medicine and Predictive Analytics A Review of Computational Methodsijtsrd
Personalized medicine, driven by advancements in computational methods and predictive analytics, has emerged as a revolutionary approach to healthcare. This review provides an in depth exploration of the foundations, key principles, and computational techniques that underpin personalized medicine. It highlights the significance of personalized medicine in tailoring treatments to individual patients, optimizing healthcare outcomes, and enhancing the quality of care. Additionally, this review discusses the challenges and future prospects of personalized medicine in the context of predictive analytics, offering insights into the evolving landscape of healthcare. Transitioning from the foundational understanding of personalized medicine, we delve into the pivotal role of predictive analytics within this paradigm. Predictive analytics, a branch of data science, is the driving force behind the precision and individualization inherent in personalized medicine. It harnesses the power of advanced computational methods and algorithms to process vast datasets and generate predictions about future events, in this case, patient outcomes and treatment responses. Snowza Chrysolite. D "Personalized Medicine and Predictive Analytics: A Review of Computational Methods" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-5 , October 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59982.pdf Paper Url: https://www.ijtsrd.com/medicine/other/59982/personalized-medicine-and-predictive-analytics-a-review-of-computational-methods/snowza-chrysolite-d
What is biomarker?
What is the purpose of biomarker
Processes of biomarker development?
Types of Biomarkers
What is biomarker testing for cancer treatment?
Uses of Biomarkers in Cancer Medicine
Uses of Biomarkers in Cancer Drug Discovery
introduction
What is biomarker?
What is the purpose of biomarker
Processes of biomarker development?
Types of Biomarkers
What is biomarker testing for cancer treatment?
Uses of Biomarkers in Cancer Medicine
Uses of Biomarkers in Cancer Drug Discovery
Precision medicine is an emerging strategy that considers individual variability in genes, environment, and lifestyle to diagnose, treat, forecast, and prevent disease. As regulatory health authorities begin to develop clearer regulatory pathways in precision medicine, industries must prepare to swiftly adopt to any regulatory changes. This white paper aims to provide a broad overview on the following key topics in precision medicine:
1. Genomics and Pharmacogenetics
2. Precision Medicine vs Personalized Medicine
3. Foundation of Precision Medicine as A Treatment Tool
4. Examples of Precision Medicine as A Treatment, Predictive, and Preventative Tool
5. Precision Medicine and Cancer
6. Challenges, Next Step & Opportunities in Precision Medicine
7. Regulatory insight on Precision medicine
Personalized Medicine: Foundation, Applications, Challenges and Opportunities...The Lifesciences Magazine
Personalized medicine is a paradigm-shifting strategy that aims to give customized therapies based on individual features, genetic makeup, and distinct illness profiles in an era characterized by revolutionary developments in healthcare.
Evolving Role of Digital Biomarkers in HealthcareCitiusTech
As the adoption of remote monitoring, wearable devices and mobile applications grows, digital biomarkers will play a significant role in better disease identification and health management.
Emerging Technologies Shaping the Future of Precision MedicineClinosolIndia
Precision medicine, with its focus on tailoring healthcare interventions to individual characteristics, is undergoing a transformative evolution propelled by emerging technologies. From advanced genomic tools to artificial intelligence, these technologies are revolutionizing our ability to understand, diagnose, and treat diseases at an unprecedented level of specificity. This article explores the key emerging technologies shaping the future of precision medicine.
Precision medicine is a rapidly evolving approach to healthcare that uses patient-specific data to tailor medical treatment and therapies to an individual’s unique needs.
Applications of statistics in medical Research and HealthrMuhammadNafees42
This will help you to understand the applications of basic statistics.The application of stat in medical health and research.
#nafeesupdates
#nafeesmedicos
Guidance for Biomarkers into Early Phase Clinical Research Purposes | Healthc...PEPGRA Healthcare
In many health data analytics companies, Biomarkers are playing increasingly critical roles in the development of new drugs in early-phase trials. This blog is meant to introduce clinical investigators to the fundamentals of choosing a biomarker test for use in an early phase trial. Some steps to consider are briefly outlined including defining the role of the biomarker in the early phase trial are:
Errors in Measurement, Bigotry, Astounding, Price and Acceptability.
Continue Reading: http://bit.ly/38TbC2H
Contact us:
UK: +44-1143520021
US/Canada: +1-972-502-9262
India: +91-9884350006
Email id: sales.cro@pepgra.com
Website: www.pepgra.com
Please share this webinar with anyone who may be interested!
Watch all our webinars: https://www.youtube.com/playlist?list=PL4dDQscmFYu_ezxuxnAE61hx4JlqAKXpR
Cancer care is increasingly tailored to individual patients, who can undergo genetic or biomarker testing soon after diagnosis, to determine which treatments have the best chance of shrinking or eliminating tumours.
In this webinar, a pathologist and clinical oncologist discuss:
● how they are using these new tests,
● how they communicate results and treatment options to patients and caregivers, and
● how patients can be better informed on the kinds of tests that are in development or in use across Canada
View the video: https://youtu.be/_Wai_uMQKEQ
Follow our social media accounts:
Twitter - https://twitter.com/survivornetca
Facebook - https://www.facebook.com/CanadianSurvivorNet
Pinterest - https://www.pinterest.com/survivornetwork
YouTube - https://www.youtube.com/user/Survivornetca
Pharmacovigilance and Drug-Drug Interactions: Ensuring Patient SafetyClinosolIndia
Pharmacovigilance plays a crucial role in identifying and managing drug-drug interactions (DDIs) to ensure patient safety. Drug-drug interactions occur when two or more medications interact in a way that alters their effects, potentially leading to unexpected adverse events or reduced therapeutic efficacy. Proper pharmacovigilance practices help mitigate the risks associated with DDIs and promote safe medication use. Here's how pharmacovigilance contributes to ensuring patient safety in the context of drug-drug interactions:
Bio-Statistics newer advances, Scope & Challenges in Bio-Medical Researchkomalicarol
Biostatistics also known as biometry which means ‘measurement
of life’ is a branch of applied statistics which deals with collection,
compilation, analysis and interpretation of data related to biomedical sciences. It provides a key to better understanding of the medical discipline. Biological data are always subjected to variation
and are affected by various environmental, social and genetic factors etc
Role of Biostatistician and Biostatistical Programming in Epidemiological Stu...PEPGRA Healthcare
Pepgra experts provide regulatory biostatistics and epidemiology statistical programming support to all phases of clinical trial process development and commercialization. Our Epidemiological statistical services is are located globally & trained in current methods and standards to support the successful execution of your projects.
Continue Reading: http://bit.ly/2OBq9EZ
Youtube: https://youtu.be/2NORssElgFg
Contact Us:
Website : https://bit.ly/33Fwsye
Email us: sales.cro@pepgra.com
India: +91 9884350006
United Kingdom: +44- 74248 10299
Direct To Consumer Genomics and the Future of HealthcareRyan Squire
Richard Sharp, Ph.D., Director of Bioethics Research at the Cleveland Clinic presents on direct-to-consumer genomics and the future of health care.
Dr. Sharp received his training in philosophy and medical ethics at Michigan State University.
Prior to joining the Cleveland Clinic in 2007, Dr. Sharp taught bioethics at Baylor College of Medicine and the National Institute of Environmental Health Sciences, one of the National Institutes of Health (NIH), where he directed the Program in Environmental Health Policy and Ethics.
His research examines the promotion of informed patient decision-making in clinical research, particularly research that involves genetic analyses.
Just as a corporation can improve its products and services by analyzing data and using relevant data points to steer future action, the healthcare industry can leverage big data in future decisions to the improvement of personalized medicine. But healthcare can use big data on more fronts than most industries, especially considering transition of healthcare into precision medicine. Visit: https://www.rockwestsolutions.com/sensors/medical-devices/
‘Six Sigma Technique’ A Journey Through its Implementationijtsrd
The manufacturing industries all over the world are facing tough challenges for growth, development and sustainability in today’s competitive environment. They have to achieve apex position by adapting with the global competitive environment by delivering goods and services at low cost, prime quality and better price to increase wealth and consumer satisfaction. Cost Management ensures profit, growth and sustainability of the business with implementation of Continuous Improvement Technique like Six Sigma. This leads to optimize Business performance. The method drives for customer satisfaction, low variation, reduction in waste and cycle time resulting into a competitive advantage over other industries which did not implement it. The main objective of this paper ‘Six Sigma Technique A Journey Through Its Implementation’ is to conceptualize the effectiveness of Six Sigma Technique through the journey of its implementation. Aditi Sunilkumar Ghosalkar "‘Six Sigma Technique’: A Journey Through its Implementation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64546.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64546/‘six-sigma-technique’-a-journey-through-its-implementation/aditi-sunilkumar-ghosalkar
Edge Computing in Space Enhancing Data Processing and Communication for Space...ijtsrd
Edge computing, a paradigm that involves processing data closer to its source, has gained significant attention for its potential to revolutionize data processing and communication in space missions. With the increasing complexity and data volume generated by modern space missions, traditional centralized computing approaches face challenges related to latency, bandwidth, and security. Edge computing in space, involving on board processing and analysis of data, offers promising solutions to these challenges. This paper explores the concept of edge computing in space, its benefits, applications, and future prospects in enhancing space missions. Manish Verma "Edge Computing in Space: Enhancing Data Processing and Communication for Space Missions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64541.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/64541/edge-computing-in-space-enhancing-data-processing-and-communication-for-space-missions/manish-verma
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Personalized Medicine: Foundation, Applications, Challenges and Opportunities...The Lifesciences Magazine
Personalized medicine is a paradigm-shifting strategy that aims to give customized therapies based on individual features, genetic makeup, and distinct illness profiles in an era characterized by revolutionary developments in healthcare.
Evolving Role of Digital Biomarkers in HealthcareCitiusTech
As the adoption of remote monitoring, wearable devices and mobile applications grows, digital biomarkers will play a significant role in better disease identification and health management.
Emerging Technologies Shaping the Future of Precision MedicineClinosolIndia
Precision medicine, with its focus on tailoring healthcare interventions to individual characteristics, is undergoing a transformative evolution propelled by emerging technologies. From advanced genomic tools to artificial intelligence, these technologies are revolutionizing our ability to understand, diagnose, and treat diseases at an unprecedented level of specificity. This article explores the key emerging technologies shaping the future of precision medicine.
Precision medicine is a rapidly evolving approach to healthcare that uses patient-specific data to tailor medical treatment and therapies to an individual’s unique needs.
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Guidance for Biomarkers into Early Phase Clinical Research Purposes | Healthc...PEPGRA Healthcare
In many health data analytics companies, Biomarkers are playing increasingly critical roles in the development of new drugs in early-phase trials. This blog is meant to introduce clinical investigators to the fundamentals of choosing a biomarker test for use in an early phase trial. Some steps to consider are briefly outlined including defining the role of the biomarker in the early phase trial are:
Errors in Measurement, Bigotry, Astounding, Price and Acceptability.
Continue Reading: http://bit.ly/38TbC2H
Contact us:
UK: +44-1143520021
US/Canada: +1-972-502-9262
India: +91-9884350006
Email id: sales.cro@pepgra.com
Website: www.pepgra.com
Please share this webinar with anyone who may be interested!
Watch all our webinars: https://www.youtube.com/playlist?list=PL4dDQscmFYu_ezxuxnAE61hx4JlqAKXpR
Cancer care is increasingly tailored to individual patients, who can undergo genetic or biomarker testing soon after diagnosis, to determine which treatments have the best chance of shrinking or eliminating tumours.
In this webinar, a pathologist and clinical oncologist discuss:
● how they are using these new tests,
● how they communicate results and treatment options to patients and caregivers, and
● how patients can be better informed on the kinds of tests that are in development or in use across Canada
View the video: https://youtu.be/_Wai_uMQKEQ
Follow our social media accounts:
Twitter - https://twitter.com/survivornetca
Facebook - https://www.facebook.com/CanadianSurvivorNet
Pinterest - https://www.pinterest.com/survivornetwork
YouTube - https://www.youtube.com/user/Survivornetca
Pharmacovigilance and Drug-Drug Interactions: Ensuring Patient SafetyClinosolIndia
Pharmacovigilance plays a crucial role in identifying and managing drug-drug interactions (DDIs) to ensure patient safety. Drug-drug interactions occur when two or more medications interact in a way that alters their effects, potentially leading to unexpected adverse events or reduced therapeutic efficacy. Proper pharmacovigilance practices help mitigate the risks associated with DDIs and promote safe medication use. Here's how pharmacovigilance contributes to ensuring patient safety in the context of drug-drug interactions:
Bio-Statistics newer advances, Scope & Challenges in Bio-Medical Researchkomalicarol
Biostatistics also known as biometry which means ‘measurement
of life’ is a branch of applied statistics which deals with collection,
compilation, analysis and interpretation of data related to biomedical sciences. It provides a key to better understanding of the medical discipline. Biological data are always subjected to variation
and are affected by various environmental, social and genetic factors etc
Role of Biostatistician and Biostatistical Programming in Epidemiological Stu...PEPGRA Healthcare
Pepgra experts provide regulatory biostatistics and epidemiology statistical programming support to all phases of clinical trial process development and commercialization. Our Epidemiological statistical services is are located globally & trained in current methods and standards to support the successful execution of your projects.
Continue Reading: http://bit.ly/2OBq9EZ
Youtube: https://youtu.be/2NORssElgFg
Contact Us:
Website : https://bit.ly/33Fwsye
Email us: sales.cro@pepgra.com
India: +91 9884350006
United Kingdom: +44- 74248 10299
Direct To Consumer Genomics and the Future of HealthcareRyan Squire
Richard Sharp, Ph.D., Director of Bioethics Research at the Cleveland Clinic presents on direct-to-consumer genomics and the future of health care.
Dr. Sharp received his training in philosophy and medical ethics at Michigan State University.
Prior to joining the Cleveland Clinic in 2007, Dr. Sharp taught bioethics at Baylor College of Medicine and the National Institute of Environmental Health Sciences, one of the National Institutes of Health (NIH), where he directed the Program in Environmental Health Policy and Ethics.
His research examines the promotion of informed patient decision-making in clinical research, particularly research that involves genetic analyses.
Just as a corporation can improve its products and services by analyzing data and using relevant data points to steer future action, the healthcare industry can leverage big data in future decisions to the improvement of personalized medicine. But healthcare can use big data on more fronts than most industries, especially considering transition of healthcare into precision medicine. Visit: https://www.rockwestsolutions.com/sensors/medical-devices/
Similar to Advances in Biomarkers and Personalized Medicine (20)
‘Six Sigma Technique’ A Journey Through its Implementationijtsrd
The manufacturing industries all over the world are facing tough challenges for growth, development and sustainability in today’s competitive environment. They have to achieve apex position by adapting with the global competitive environment by delivering goods and services at low cost, prime quality and better price to increase wealth and consumer satisfaction. Cost Management ensures profit, growth and sustainability of the business with implementation of Continuous Improvement Technique like Six Sigma. This leads to optimize Business performance. The method drives for customer satisfaction, low variation, reduction in waste and cycle time resulting into a competitive advantage over other industries which did not implement it. The main objective of this paper ‘Six Sigma Technique A Journey Through Its Implementation’ is to conceptualize the effectiveness of Six Sigma Technique through the journey of its implementation. Aditi Sunilkumar Ghosalkar "‘Six Sigma Technique’: A Journey Through its Implementation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64546.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64546/‘six-sigma-technique’-a-journey-through-its-implementation/aditi-sunilkumar-ghosalkar
Edge Computing in Space Enhancing Data Processing and Communication for Space...ijtsrd
Edge computing, a paradigm that involves processing data closer to its source, has gained significant attention for its potential to revolutionize data processing and communication in space missions. With the increasing complexity and data volume generated by modern space missions, traditional centralized computing approaches face challenges related to latency, bandwidth, and security. Edge computing in space, involving on board processing and analysis of data, offers promising solutions to these challenges. This paper explores the concept of edge computing in space, its benefits, applications, and future prospects in enhancing space missions. Manish Verma "Edge Computing in Space: Enhancing Data Processing and Communication for Space Missions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64541.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/64541/edge-computing-in-space-enhancing-data-processing-and-communication-for-space-missions/manish-verma
Dynamics of Communal Politics in 21st Century India Challenges and Prospectsijtsrd
Communal politics in India has evolved through centuries, weaving a complex tapestry shaped by historical legacies, colonial influences, and contemporary socio political transformations. This research comprehensively examines the dynamics of communal politics in 21st century India, emphasizing its historical roots, socio political dynamics, economic implications, challenges, and prospects for mitigation. The historical perspective unravels the intricate interplay of religious identities and power dynamics from ancient civilizations to the impact of colonial rule, providing insights into the evolution of communalism. The socio political dynamics section delves into the contemporary manifestations, exploring the roles of identity politics, socio economic disparities, and globalization. The economic implications section highlights how communal politics intersects with economic issues, perpetuating disparities and influencing resource allocation. Challenges posed by communal politics are scrutinized, revealing multifaceted issues ranging from social fragmentation to threats against democratic values. The prospects for mitigation present a multifaceted approach, incorporating policy interventions, community engagement, and educational initiatives. The paper conducts a comparative analysis with international examples, identifying common patterns such as identity politics and economic disparities. It also examines unique challenges, emphasizing Indias diverse religious landscape, historical legacy, and secular framework. Lessons for effective strategies are drawn from international experiences, offering insights into inclusive policies, interfaith dialogue, media regulation, and global cooperation. By scrutinizing historical epochs, contemporary dynamics, economic implications, and international comparisons, this research provides a comprehensive understanding of communal politics in India. The proposed strategies for mitigation underscore the importance of a holistic approach to foster social harmony, inclusivity, and democratic values. Rose Hossain "Dynamics of Communal Politics in 21st Century India: Challenges and Prospects" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64528.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/history/64528/dynamics-of-communal-politics-in-21st-century-india-challenges-and-prospects/rose-hossain
Assess Perspective and Knowledge of Healthcare Providers Towards Elehealth in...ijtsrd
Background and Objective Telehealth has become a well known tool for the delivery of health care in Saudi Arabia, and the perspective and knowledge of healthcare providers are influential in the implementation, adoption and advancement of the method. This systematic review was conducted to examine the current literature base regarding telehealth and the related healthcare professional perspective and knowledge in the Kingdom of Saudi Arabia. Materials and Methods This systematic review was conducted by searching 7 databases including, MEDLINE, CINHAL, Web of Science, Scopus, PubMed, PsycINFO, and ProQuest Central. Studies on healthcare practitioners telehealth knowledge and perspectives published in English in Saudi Arabia from 2000 to 2023 were included. Boland directed this comprehensive review. The researchers examined each connected study using the AXIS tool, which evaluates cross sectional systematic reviews. Narrative synthesis was used to summarise and convey the data. Results Out of 1840 search results, 10 studies were included. Positive outlook and limited knowledge among providers were seen across trials. Healthcare professionals like telehealth for its ability to improve quality, access, and delivery, save time and money, and be successful. Age, gender, occupation, and work experience also affect health workers knowledge. In Saudi Arabia, healthcare professionals face inadequate expert assistance, patient privacy, internet connection concerns, lack of training courses, lack of telehealth understanding, and high costs while performing telemedicine. Conclusions Healthcare practitioners telehealth perceptions and knowledge were examined in this systematic study. Its collection of concerned experts different personal attitudes and expertise would help enhance telehealths implementation in Saudi Arabia, develop its healthcare delivery alternative, and eliminate frequent problems. Badriah Mousa I Mulayhi | Dr. Jomin George | Judy Jenkins "Assess Perspective and Knowledge of Healthcare Providers Towards Elehealth in Saudi Arabia: A Systematic Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64535.pdf Paper Url: https://www.ijtsrd.com/medicine/other/64535/assess-perspective-and-knowledge-of-healthcare-providers-towards-elehealth-in-saudi-arabia-a-systematic-review/badriah-mousa-i-mulayhi
The Impact of Digital Media on the Decentralization of Power and the Erosion ...ijtsrd
The impact of digital media on the distribution of power and the weakening of traditional gatekeepers has gained considerable attention in recent years. The adoption of digital technologies and the internet has resulted in declining influence and power for traditional gatekeepers such as publishing houses and news organizations. Simultaneously, digital media has facilitated the emergence of new voices and players in the media industry. Digital medias impact on power decentralization and gatekeeper erosion is visible in several ways. One significant aspect is the democratization of information, which enables anyone with an internet connection to publish and share content globally, leading to citizen journalism and bypassing traditional gatekeepers. Another aspect is the disruption of conventional media industry business models, as traditional organizations struggle to adjust to the decrease in advertising revenue and the rise of digital platforms. Alternative business models, such as subscription models and crowdfunding, have become more prevalent, leading to the emergence of new players. Overall, the impact of digital media on the distribution of power and the weakening of traditional gatekeepers has brought about significant changes in the media landscape and the way information is shared. Further research is required to fully comprehend the implications of these changes and their impact on society. Dr. Kusum Lata "The Impact of Digital Media on the Decentralization of Power and the Erosion of Traditional Gatekeepers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64544.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/political-science/64544/the-impact-of-digital-media-on-the-decentralization-of-power-and-the-erosion-of-traditional-gatekeepers/dr-kusum-lata
Online Voices, Offline Impact Ambedkars Ideals and Socio Political Inclusion ...ijtsrd
This research investigates the nexus between online discussions on Dr. B.R. Ambedkars ideals and their impact on social inclusion among college students in Gurugram, Haryana. Surveying 240 students from 12 government colleges, findings indicate that 65 actively engage in online discussions, with 80 demonstrating moderate to high awareness of Ambedkars ideals. Statistically significant correlations reveal that higher online engagement correlates with increased awareness p 0.05 and perceived social inclusion. Variations across colleges and a notable effect of college type on perceived social inclusion highlight the influence of contextual factors. Furthermore, the intersectional analysis underscores nuanced differences based on gender, caste, and socio economic status. Dr. Kusum Lata "Online Voices, Offline Impact: Ambedkar's Ideals and Socio-Political Inclusion - A Study of Gurugram District" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64543.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/political-science/64543/online-voices-offline-impact-ambedkars-ideals-and-sociopolitical-inclusion--a-study-of-gurugram-district/dr-kusum-lata
Problems and Challenges of Agro Entreprenurship A Studyijtsrd
Noting calls for contextualizing Agro entrepreneurs problems and challenges of the agro entrepreneurs and for greater attention to the Role of entrepreneurs in agro entrepreneurship research, we conduct a systematic literature review of extent research in agriculture entrepreneurship to overcome the study objectives of complications of agro entrepreneurs through various factors, Development of agriculture products is a key factor for the overall economic growth of agro entrepreneurs Agro Entrepreneurs produces firsthand large scale employment, utilizes the labor and natural resources, This research outlines the problems of Weather and Soil Erosions, Market price fluctuation, stimulates labor cost problems, reduces concentration of Price volatility, Dependency on Intermediaries, induces Limited Bargaining Power, and Storage and Transportation Costs. This paper mainly devoted to highlight Problems and challenges faced for the sustainable of Agro Entrepreneurs in India. Vinay Prasad B "Problems and Challenges of Agro Entreprenurship - A Study" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64540.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64540/problems-and-challenges-of-agro-entreprenurship--a-study/vinay-prasad-b
Comparative Analysis of Total Corporate Disclosure of Selected IT Companies o...ijtsrd
Disclosure is a process through which a business enterprise communicates with external parties. A corporate disclosure is communication of financial and non financial information of the activities of a business enterprise to the interested entities. Corporate disclosure is done through publishing annual reports. So corporate disclosure through annual reports plays a vital role in the life of all the companies and provides valuable information to investors. The basic objectives of corporate disclosure is to give a true and fair view of companies to the parties related either directly or indirectly like owner, government, creditors, shareholders etc. in the companies act, provisions have been made about mandatory and voluntary disclosure. The IT sector in India is rapidly growing, the trend to invest in the IT sector is rising and employment opportunities in IT sectors are also increasing. Therefore the IT sector is expected to have fair, full and adequate disclosure of all information. Unfair and incomplete disclosure may adversely affect the entire economy. A research study on disclosure practices of IT companies could play an important role in this regard. Hence, the present research study has been done to study and review comparative analysis of total corporate disclosure of selected IT companies of India and to put forward overall findings and suggestions with a view to increase disclosure score of these companies. The researcher hopes that the present research study will be helpful to all selected Companies for improving level of corporate disclosure through annual reports as well as the government, creditors, investors, all business organizations and upcoming researcher for comparative analyses of level of corporate disclosure with special reference to selected IT companies. Dr. Vaibhavi D. Thaker "Comparative Analysis of Total Corporate Disclosure of Selected IT Companies of India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64539.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64539/comparative-analysis-of-total-corporate-disclosure-of-selected-it-companies-of-india/dr-vaibhavi-d-thaker
The Impact of Educational Background and Professional Training on Human Right...ijtsrd
This study investigated the impact of educational background and professional training on human rights awareness among secondary school teachers in the Marathwada region of Maharashtra, India. The key findings reveal that higher levels of education, particularly a master’s degree, and fields of study related to education, humanities, or social sciences are associated with greater human rights awareness among teachers. Additionally, both pre service teacher training and in service professional development programs focused on human rights education significantly enhance teacher’s knowledge, skills, and competencies in promoting human rights principles in their classrooms. Baig Ameer Bee Mirza Abdul Aziz | Dr. Syed Azaz Ali Amjad Ali "The Impact of Educational Background and Professional Training on Human Rights Awareness among Secondary School Teachers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64529.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/64529/the-impact-of-educational-background-and-professional-training-on-human-rights-awareness-among-secondary-school-teachers/baig-ameer-bee-mirza-abdul-aziz
A Study on the Effective Teaching Learning Process in English Curriculum at t...ijtsrd
“One Language sets you in a corridor for life. Two languages open every door along the way” Frank Smith English as a foreign language or as a second language has been ruling in India since the period of Lord Macaulay. But the question is how much we teach or learn English properly in our culture. Is there any scope to use English as a language rather than a subject How much we learn or teach English without any interference of mother language specially in the classroom teaching learning scenario in West Bengal By considering all these issues the researcher has attempted in this article to focus on the effective teaching learning process comparing to other traditional strategies in the field of English curriculum at the secondary level to investigate whether they fulfill the present teaching learning requirements or not by examining the validity of the present curriculum of English. The purpose of this study is to focus on the effectiveness of the systematic, scientific, sequential and logical transaction of the course between the teachers and the learners in the perspective of the 5Es programme that is engage, explore, explain, extend and evaluate. Sanchali Mondal | Santinath Sarkar "A Study on the Effective Teaching Learning Process in English Curriculum at the Secondary Level of West Bengal" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd62412.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/62412/a-study-on-the-effective-teaching-learning-process-in-english-curriculum-at-the-secondary-level-of-west-bengal/sanchali-mondal
The Role of Mentoring and Its Influence on the Effectiveness of the Teaching ...ijtsrd
This paper reports on a study which was conducted to investigate the role of mentoring and its influence on the effectiveness of the teaching of Physics in secondary schools in the South West Region of Cameroon. The study adopted the convergent parallel mixed methods design, focusing on respondents in secondary schools in the South West Region of Cameroon. Both quantitative and qualitative data were collected, analysed separately, and the results were compared to see if the findings confirm or disconfirm each other. The quantitative analysis found that majority of the respondents 72 of Physics teachers affirmed that they had more experienced colleagues as mentors to help build their confidence, improve their teaching, and help them improve their effectiveness and efficiency in guiding learners’ achievements. Only 28 of the respondents disagreed with these statements. With majority respondents 72 agreeing with the statements, it implies that in most secondary schools, experienced Physics teachers act as mentors to build teachers’ confidence in teaching and improving students’ learning. The interview qualitative data analysis summarized how secondary school Principals use meetings with mentors and mentees to promote mentorship in the school milieu. This has helped strengthen teachers’ classroom practices in secondary schools in the South West Region of Cameroon. With the results confirming each other, the study recommends that mentoring should focus on helping teachers employ social interactions and instructional practices feedback and clarity in teaching that have direct measurable impact on students’ learning achievements. Andrew Ngeim Sumba | Frederick Ebot Ashu | Peter Agborbechem Tambi "The Role of Mentoring and Its Influence on the Effectiveness of the Teaching of Physics in Secondary Schools in the South West Region of Cameroon" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64524.pdf Paper Url: https://www.ijtsrd.com/management/management-development/64524/the-role-of-mentoring-and-its-influence-on-the-effectiveness-of-the-teaching-of-physics-in-secondary-schools-in-the-south-west-region-of-cameroon/andrew-ngeim-sumba
Design Simulation and Hardware Construction of an Arduino Microcontroller Bas...ijtsrd
This study primarily focuses on the design of a high side buck converter using an Arduino microcontroller. The converter is specifically intended for use in DC DC applications, particularly in standalone solar PV systems where the PV output voltage exceeds the load or battery voltage. To evaluate the performance of the converter, simulation experiments are conducted using Proteus Software. These simulations provide insights into the input and output voltages, currents, powers, and efficiency under different state of charge SoC conditions of a 12V,70Ah rechargeable lead acid battery. Additionally, the hardware design of the converter is implemented, and practical data is collected through operation, monitoring, and recording. By comparing the simulation results with the practical results, the efficiency and performance of the designed converter are assessed. The findings indicate that while the buck converter is suitable for practical use in standalone PV systems, its efficiency is compromised due to a lower output current. Chan Myae Aung | Dr. Ei Mon "Design Simulation and Hardware Construction of an Arduino-Microcontroller Based DC-DC High-Side Buck Converter for Standalone PV System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64518.pdf Paper Url: https://www.ijtsrd.com/engineering/mechanical-engineering/64518/design-simulation-and-hardware-construction-of-an-arduinomicrocontroller-based-dcdc-highside-buck-converter-for-standalone-pv-system/chan-myae-aung
Sustainable Energy by Paul A. Adekunte | Matthew N. O. Sadiku | Janet O. Sadikuijtsrd
Energy becomes sustainable if it meets the needs of the present without compromising the ability of future generations to meet their own needs. Some of the definitions of sustainable energy include the considerations of environmental aspects such as greenhouse gas emissions, social, and economic aspects such as energy poverty. Generally far more sustainable than fossil fuel are renewable energy sources such as wind, hydroelectric power, solar, and geothermal energy sources. Worthy of note is that some renewable energy projects, like the clearing of forests to produce biofuels, can cause severe environmental damage. The sustainability of nuclear power which is a low carbon source is highly debated because of concerns about radioactive waste, nuclear proliferation, and accidents. The switching from coal to natural gas has environmental benefits, including a lower climate impact, but could lead to delay in switching to more sustainable options. “Carbon capture and storage” can be built into power plants to remove the carbon dioxide CO2 emissions, but this technology is expensive and has rarely been implemented. Leading non renewable energy sources around the world is fossil fuels, coal, petroleum, and natural gas. Nuclear energy is usually considered another non renewable energy source, although nuclear energy itself is a renewable energy source, but the material used in nuclear power plants is not. The paper addresses the issue of sustainable energy, its attendant benefits to the future generation, and humanity in general. Paul A. Adekunte | Matthew N. O. Sadiku | Janet O. Sadiku "Sustainable Energy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64534.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/64534/sustainable-energy/paul-a-adekunte
Concepts for Sudan Survey Act Implementations Executive Regulations and Stand...ijtsrd
This paper aims to outline the executive regulations, survey standards, and specifications required for the implementation of the Sudan Survey Act, and for regulating and organizing all surveying work activities in Sudan. The act has been discussed for more than 5 years. The Land Survey Act was initiated by the Sudan Survey Authority and all official legislations were headed by the Sudan Ministry of Justice till it was issued in 2022. The paper presents conceptual guidelines to be used for the Survey Act implementation and to regulate the survey work practice, standardizing the field surveys, processing, quality control, procedures, and the processes related to survey work carried out by the stakeholders and relevant authorities in Sudan. The conceptual guidelines are meant to improve the quality and harmonization of geospatial data and to aid decision making processes as well as geospatial information systems. The established comprehensive executive regulations will govern and regulate the implementation of the Sudan Survey Geomatics Act in all surveying and mapping practices undertaken by the Sudan Survey Authority SSA and state local survey departments for public or private sector organizations. The targeted standards and specifications include the reference frame, projection, coordinate systems, and the guidelines and specifications that must be followed in the field of survey work, processes, and mapping products. In the last few decades, there has been a growing awareness of the importance of geomatics activities and measurements on the Earths surface in space and time, together with observing and mapping the changes. In such cases, data must be captured promptly, standardized, and obtained with more accuracy and specified in much detail. The paper will also highlight the current situation in Sudan, the degree to which survey standards are used, the problems encountered, and the errors that arise from not using the standards and survey specifications. Kamal A. A. Sami "Concepts for Sudan Survey Act Implementations - Executive Regulations and Standards" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63484.pdf Paper Url: https://www.ijtsrd.com/engineering/civil-engineering/63484/concepts-for-sudan-survey-act-implementations--executive-regulations-and-standards/kamal-a-a-sami
Towards the Implementation of the Sudan Interpolated Geoid Model Khartoum Sta...ijtsrd
The discussions between ellipsoid and geoid have invoked many researchers during the recent decades, especially during the GNSS technology era, which had witnessed a great deal of development but still geoid undulation requires more investigations. To figure out a solution for Sudans local geoid, this research has tried to intake the possibility of determining the geoid model by following two approaches, gravimetric and geometrical geoid model determination, by making use of GNSS leveling benchmarks at Khartoum state. The Benchmarks are well distributed in the study area, in which, the horizontal coordinates and the height above the ellipsoid have been observed by GNSS while orthometric heights were carried out using precise leveling. The Global Geopotential Model GGM represented in EGM2008 has been exploited to figure out the geoid undulation at the benchmarks in the study area. This is followed by a fitting process, that has been done to suit the geoid undulation data which has been computed using GNSS leveling data and geoid undulation inspired by the EGM2008. Two geoid surfaces were created after the fitting process to ensure that they are identical and both of them could be counted for getting the same geoid undulation with an acceptable accuracy. In this respect, statistical operation played an important role in ensuring the consistency and integrity of the model by applying cross validation techniques splitting the data into training and testing datasets for building the geoid model and testing its eligibility. The geometrical solution for geoid undulation computation has been utilized by applying straightforward equations that facilitate the calculation of the geoid undulation directly through applying statistical techniques for the GNSS leveling data of the study area to get the common equation parameters values that could be utilized to calculate geoid undulation of any position in the study area within the claimed accuracy. Both systems were checked and proved eligible to be used within the study area with acceptable accuracy which may contribute to solving the geoid undulation problem in the Khartoum area, and be further generalized to determine the geoid model over the entire country, and this could be considered in the future, for regional and continental geoid model. Ahmed M. A. Mohammed. | Kamal A. A. Sami "Towards the Implementation of the Sudan Interpolated Geoid Model (Khartoum State Case Study)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63483.pdf Paper Url: https://www.ijtsrd.com/engineering/civil-engineering/63483/towards-the-implementation-of-the-sudan-interpolated-geoid-model-khartoum-state-case-study/ahmed-m-a-mohammed
Activating Geospatial Information for Sudans Sustainable Investment Mapijtsrd
Sudan is witnessing an acceleration in the processes of development and transformation in the performance of government institutions to raise the productivity and investment efficiency of the government sector. The development plans and investment opportunities have focused on achieving national goals in various sectors. This paper aims to illuminate the path to the future and provide geospatial data and information to develop the investment climate and environment for all sized businesses, and to bridge the development gap between the Sudan states. The Sudan Survey Authority SSA is the main advisor to the Sudan Government in conducting surveying, mappings, designing, and developing systems related to geospatial data and information. In recent years, SSA made a strategic partnership with the Ministry of Investment to activate Geospatial Information for Sudans Sustainable Investment and in particular, for the preparation and implementation of the Sudan investment map, based on the directives and objectives of the Ministry of Investment MI in Sudan. This paper comes within the framework of activating the efforts of the Ministry of Investment to develop technical investment services by applying techniques adopted by the Ministry and its strategic partners for advancing investment processes in the country. Kamal A. A. Sami "Activating Geospatial Information for Sudan's Sustainable Investment Map" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63482.pdf Paper Url: https://www.ijtsrd.com/engineering/information-technology/63482/activating-geospatial-information-for-sudans-sustainable-investment-map/kamal-a-a-sami
Educational Unity Embracing Diversity for a Stronger Societyijtsrd
In a rapidly changing global landscape, the importance of education as a unifying force cannot be overstated. This paper explores the crucial role of educational unity in fostering a stronger and more inclusive society through the embrace of diversity. By examining the benefits of diverse learning environments, the paper aims to highlight the positive impact on societal strength. The discussion encompasses various dimensions, from curriculum design to classroom dynamics, and emphasizes the need for educational institutions to become catalysts for unity in diversity. It highlights the need for a paradigm shift in educational policies, curricula, and pedagogical approaches to ensure that they are reflective of the diverse fabric of society. This paper also addresses the challenges associated with implementing inclusive educational practices and offers practical strategies for overcoming barriers. It advocates for collaborative efforts between educational institutions, policymakers, and communities to create a supportive ecosystem that promotes diversity and unity. Mr. Amit Adhikari | Madhumita Teli | Gopal Adhikari "Educational Unity: Embracing Diversity for a Stronger Society" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64525.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/64525/educational-unity-embracing-diversity-for-a-stronger-society/mr-amit-adhikari
Integration of Indian Indigenous Knowledge System in Management Prospects and...ijtsrd
The diversity of indigenous knowledge systems in India is vast and can vary significantly between different communities and regions. Preserving and respecting these knowledge systems is crucial for maintaining cultural heritage, promoting sustainable practices, and fostering cross cultural understanding. In this paper, an overview of the prospects and challenges associated with incorporating Indian indigenous knowledge into management is explored. It is found that IIKS helps in management in many areas like sustainable development, tourism, food security, natural resource management, cultural preservation and innovation, etc. However, IIKS integration with management faces some challenges in the form of a lack of documentation, cultural sensitivity, language barriers legal framework, etc. Savita Lathwal "Integration of Indian Indigenous Knowledge System in Management: Prospects and Challenges" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63500.pdf Paper Url: https://www.ijtsrd.com/management/accounting-and-finance/63500/integration-of-indian-indigenous-knowledge-system-in-management-prospects-and-challenges/savita-lathwal
DeepMask Transforming Face Mask Identification for Better Pandemic Control in...ijtsrd
The COVID 19 pandemic has highlighted the crucial need of preventive measures, with widespread use of face masks being a key method for slowing the viruss spread. This research investigates face mask identification using deep learning as a technological solution to be reducing the risk of coronavirus transmission. The proposed method uses state of the art convolutional neural networks CNNs and transfer learning to automatically recognize persons who are not wearing masks in a variety of circumstances. We discuss how this strategy improves public health and safety by providing an efficient manner of enforcing mask wearing standards. The report also discusses the obstacles, ethical concerns, and prospective applications of face mask detection systems in the ongoing fight against the pandemic. Dilip Kumar Sharma | Aaditya Yadav "DeepMask: Transforming Face Mask Identification for Better Pandemic Control in the COVID-19 Era" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64522.pdf Paper Url: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/64522/deepmask-transforming-face-mask-identification-for-better-pandemic-control-in-the-covid19-era/dilip-kumar-sharma
Streamlining Data Collection eCRF Design and Machine Learningijtsrd
Efficient and accurate data collection is paramount in clinical trials, and the design of Electronic Case Report Forms eCRFs plays a pivotal role in streamlining this process. This paper explores the integration of machine learning techniques in the design and implementation of eCRFs to enhance data collection efficiency. We delve into the synergies between eCRF design principles and machine learning algorithms, aiming to optimize data quality, reduce errors, and expedite the overall data collection process. The application of machine learning in eCRF design brings forth innovative approaches to data validation, anomaly detection, and real time adaptability. This paper discusses the benefits, challenges, and future prospects of leveraging machine learning in eCRF design for streamlined and advanced data collection in clinical trials. Dhanalakshmi D | Vijaya Lakshmi Kannareddy "Streamlining Data Collection: eCRF Design and Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63515.pdf Paper Url: https://www.ijtsrd.com/biological-science/biotechnology/63515/streamlining-data-collection-ecrf-design-and-machine-learning/dhanalakshmi-d
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
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2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
2. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD59709 | Volume – 7 | Issue – 4 | Jul-Aug 2023 Page 454
specific antigen (PSA) can suggest prostate cancer,
and certain genetic markers can indicate a
predisposition to specific diseases like breast cancer
or Alzheimer's disease. By detecting diseases at an
early stage, healthcare professionals can initiate
timely interventions, leading to better treatment
outcomes.
Prognosis and Disease Progression:
Biomarkers can provide valuable information about
the severity and prognosis of a disease. They help
predict the likelihood of disease progression and
provide insights into the expected course of the
illness. This information allows healthcare providers
to develop appropriate management plans and set
realistic expectations for patients and their families.
Treatment Selection:
In personalized medicine, biomarkers are
instrumental in selecting the most suitable treatment
for individual patients. Biomarker analysis can
identify patients who are more likely to respond to
specific therapies or who may be at risk of adverse
reactions to certain drugs. This approach allows for
targeted treatments, improving therapeutic efficacy
and reducing the risk of side effects.
Monitoring Treatment Response:
During the course of treatment, biomarkers are used
to assess how a patient is responding to therapy. By
measuring changes in specific biomarkers, healthcare
providers can determine if the treatment is working
effectively. If a treatment is not yielding the desired
results, adjustments can be made promptly to
optimize the patient's outcome.
Drug Development and Clinical Trials:
Biomarkers play a pivotal role in drug development
and clinical trials. They can be used to identify
potential drug targets, evaluate drug efficacy, and
predict treatment outcomes. Biomarker-driven
clinical trials facilitate the development of more
targeted and effective therapies, accelerating the drug
development process and reducing costs.
Monitoring Disease Recurrence:
After successful treatment, biomarkers continue to be
essential in monitoring patients for disease
recurrence. Regular biomarker testing can help detect
early signs of disease recurrence, allowing for timely
intervention and increasing the chances of successful
treatment.
Predictive and Preventive Medicine:
Certain biomarkers can predict an individual's risk of
developing specific diseases. With this knowledge,
healthcare providers can implement preventive
measures or lifestyle interventions to reduce the risk
or delay the onset of the disease. This approach
promotes proactive healthcare management and
empowers patients to make informed decisions about
their health.
Non-Invasive Diagnosis and Monitoring:
Many biomarkers can be measured using non-
invasive methods, such as blood, urine, or saliva tests.
Non-invasive biomarker testing reduces patient
discomfort, minimizes the risk of infection, and
enables frequent monitoring without the need for
invasive procedures.
Types of biomarkers (e.g., genetic, protein,
imaging) and their applications
Biomarkers can be categorized into different types
based on their nature and source. Here are some of
the main types of biomarkers and their applications:
Genetic Biomarkers:
Definition: Genetic biomarkers are specific DNA
sequences or genetic variations that are associated
with certain diseases, drug responses, or disease risk.
Applications: Genetic biomarkers are used for disease
risk assessment, diagnosis, and treatment selection.
They can help identify individuals at higher risk of
developing certain diseases (e.g., BRCA1 and
BRCA2 genes for breast cancer), guide the selection
of targeted therapies (e.g., EGFR mutations in lung
cancer for specific drug treatments), and assess the
likelihood of developing adverse drug reactions.
Protein Biomarkers:
Definition: Protein biomarkers are specific proteins or
peptides present in body fluids or tissues, whose
presence, absence, or concentration levels are
indicative of a particular disease or physiological
state.
Applications: Protein biomarkers are widely used in
disease diagnosis, monitoring treatment response, and
disease prognosis. They are commonly measured in
blood, urine, or cerebrospinal fluid and are essential
in conditions such as cardiac troponins for heart
attacks, PSA for prostate cancer, and C-reactive
protein (CRP) for inflammation.
Imaging Biomarkers:
Definition: Imaging biomarkers are features extracted
from medical imaging data, such as MRI, CT scans,
PET scans, or X-rays, that provide quantitative
information about tissue structure, function, or
disease characteristics.
Applications: Imaging biomarkers play a crucial role
in disease detection, staging, and treatment planning.
They are used in various medical fields, including
oncology (tumor size and location), neurology (brain
atrophy in Alzheimer's disease), and cardiology
(ejection fraction in heart function assessment).
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Metabolic Biomarkers:
Definition: Metabolic biomarkers are small
molecules, such as metabolites or lipids, that reflect
the metabolic state of an individual and can be altered
in response to disease or therapeutic interventions.
Applications: Metabolic biomarkers are valuable in
studying metabolic diseases (e.g., diabetes), assessing
drug metabolism and toxicity, and monitoring
nutritional status.
Epigenetic Biomarkers:
Definition: Epigenetic biomarkers are modifications
to the DNA or associated proteins that do not alter the
genetic sequence but can influence gene expression
and cellular function.
Applications: Epigenetic biomarkers have significant
potential in disease diagnosis, prognosis, and
treatment response prediction. They are explored in
fields like cancer research to identifychanges in DNA
methylation or histone modifications associated with
tumor development.
Microbial Biomarkers:
Definition: Microbial biomarkers are specific
microbial species or genetic elements associated with
the human microbiome that can influence health and
disease.
Applications: Microbial biomarkers are studied in
various conditions, including gastrointestinal
disorders, metabolic diseases, and immune-related
conditions, to better understand disease mechanisms
and develop targeted therapies.
The applications of biomarkers continue to expand as
research advances and technology improves.
Biomarkers are at the forefront of precision medicine,
driving personalized healthcare approaches and
contributing to improved patient outcomes across a
wide range of medical conditions.
Advances in Biomarker Discovery
Advances in biomarker discovery have been driven
by rapid developments in biotechnology, genomics,
proteomics, data analytics, and other fields. These
advancements have revolutionized the way
researchers identify, validate, and applybiomarkers in
various areas of healthcare. Here are some key
advances in biomarker discovery:
Omics Technologies:
Omics technologies, such as genomics, proteomics,
metabolomics, and transcriptomics, have allowed
researchers to comprehensively analyze large-scale
biological data. These technologies enable the
identification of genetic variations, protein expression
patterns, metabolite levels, and gene expression
profiles associated with specific diseases or treatment
responses. The integration of omics data provides a
more holistic understanding of disease mechanisms
and facilitates the discovery of novel biomarkers.
High-Throughput Screening:
High-throughput screening techniques have
accelerated biomarker discovery by enabling the
simultaneous analysis of thousands of molecules or
genes. These methods can quickly identify potential
biomarkers from large sample sets, allowing
researchers to focus on the most promising candidates
for further validation and clinical studies.
Bioinformatics and Data Analytics:
Bioinformatics and advanced data analytics have
become essential in biomarker discovery. These tools
help researchers process and analyze vast amounts of
omics data, identifying patterns and correlations that
may not be apparent through traditional methods.
Machine learning algorithms play a crucial role in
predicting biomarker-disease associations and
optimizing biomarker panels for diagnosis or
prediction.
Liquid Biopsies:
Liquid biopsies, also known as fluid-based
biomarkers, involve analyzing circulating
biomolecules, such as cell-free DNA, circulating
tumor cells (CTCs), exosomes, and microRNAs, in
bodily fluids like blood or urine. Liquid biopsies offer
a minimally invasive approach to monitor disease
progression, treatment response, and detect early
signs of cancer recurrence, reducing the need for
traditional tissue biopsies.
Single-Cell Analysis:
Advancements in single-cell analysis techniques have
enabled researchers to study individual cells'
characteristics and functions. This technology is
particularly valuable in understanding cellular
heterogeneity within tissues and identifying rare cell
populations that might serve as disease-specific
biomarkers.
Imaging Biomarkers:
In the field of medical imaging, there have been
significant advancements in imaging biomarker
discovery. Quantitative imaging techniques, such as
diffusion-weighted imaging, dynamic contrast-
enhanced MRI, and positron emission tomography
(PET) imaging, provide functional and molecular
information that can be used as imaging biomarkers
for disease diagnosis, staging, and treatment response
assessment.
Integration of Multi-omics Data:
Researchers are increasingly integrating data from
multiple omics technologies, such as genomics,
proteomics, and metabolomics, to gain a
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comprehensive understanding of disease processes
and identify robust biomarker candidates. Integrative
multi-omics approaches provide a more holistic view
of disease complexity and improve the accuracy of
biomarker discovery.
Real-world Data and Digital Health:
Advances in digital health technologies and the
collection of real-world data from wearable devices,
electronic health records (EHRs), and patient-reported
outcomes have provided researchers with rich
datasets to uncover novel biomarkers and understand
disease trajectories in real-world settings.
Personalized Medicine and Biomarker-Driven
Approaches
Personalized medicine and biomarker-driven
approaches are closely interconnected and have
become central to modern healthcare. Biomarker-
driven approaches play a key role in enabling
personalized medicine, which aims to tailor medical
decisions and treatments to individual patients based
on their unique characteristics. Here's how
personalized medicine and biomarker-driven
approaches are intertwined:
Definition of Personalized Medicine:
Personalized medicine, also known as precision
medicine, is an approach to healthcare that takes into
account individual variability in genes, environment,
and lifestyle for each patient. It involves the use of
biomarkers and other relevant data to guide medical
decisions, with the ultimate goal of providing more
effective and targeted treatments.
Biomarker-Driven Approach in Personalized
Medicine:
Biomarker-driven approaches are integral to
personalized medicine. Biomarkers are measurable
indicators, such as genetic variations, protein levels,
or imaging features, that provide valuable information
about a patient's health status, disease progression, or
response to treatment. By analyzing biomarkers,
healthcare providers can identify patient subgroups
with similar characteristics, allowing for personalized
treatment strategies.
Disease Detection and Diagnosis:
Biomarker-driven approaches aid in early disease
detection and accurate diagnosis. For instance,
genetic biomarkers can help identify individuals at
increased risk of developing certain diseases, while
specific protein biomarkers can assist in diagnosing
various conditions, such as cancer or autoimmune
diseases.
Treatment Selection and Response Prediction:
Biomarkers are pivotal in selecting the most
appropriate treatment for individual patients. By
analyzing biomarkers, healthcare providers can
predict a patient's response to a particular therapy,
ensuring that they receive the most effective
treatment with minimal side effects. This approach is
particularly valuable in oncology, where genetic
biomarkers can guide the use of targeted therapies.
Monitoring Treatment Response and Disease
Progression:
During the course of treatment, biomarkers are used
to monitor a patient's response to therapy and disease
progression. This dynamic approach allows
healthcare providers to make real-time adjustments to
the treatment plan, optimizing outcomes for the
individual.
Drug Development and Clinical Trials:
In drug development, biomarker-driven approaches
are used to identify potential drug targets, assess drug
efficacy, and predict adverse effects. Biomarker-
driven clinical trials are designed to evaluate drug
candidates in patient subgroups that are likely to
respond positively, streamlining the drug
development process and reducing costs.
Non-Invasive and Minimally Invasive Testing:
Many biomarkers can be measured using non-
invasive or minimally invasive methods, such as
blood, urine, or saliva tests. This patient-friendly
approach improves compliance and enables more
frequent monitoring without the need for invasive
procedures.
Advancements in Technology:
Rapid advancements in biotechnology, genomics,
proteomics, and data analytics have significantly
enhanced biomarker discovery and implementation.
These technologies enable researchers to identify and
analyze biomarkers with greater precision and
efficiency, advancing the field of personalized
medicine.
Challenges and Considerations in Biomarker
Research and Implementation
Biomarker research and implementation are crucial
for advancing personalized medicine and improving
patient outcomes. However, several challenges and
considerations need to be addressed to ensure the
successful development and use of biomarkers in
healthcare. Here are some key challenges and
considerations. One of the main challenges in
biomarker research is ensuring the validity and
reproducibility of the identified biomarkers.
Biomarker candidates need rigorous validation in
independent cohorts to establish their clinical utility
and reliability. Lack of validation can lead to false-
positive results and may hinder their translation into
clinical practice. Standardization of biomarker assays
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is essential for ensuring consistent and comparable
results across different laboratories and clinical
settings. Inconsistent methodologies or lack of
standardized protocols can lead to variability in
biomarker measurements, impacting their reliability
and clinical usefulness. Biomarker research involving
human subjects raises ethical considerations,
particularly concerning informed consent, privacy,
and data sharing. Additionally, the use of biomarkers
in clinical practice requires regulatory approval to
ensure patient safety and efficacy. Navigating these
ethical and regulatory complexities is crucial for
responsible biomarker research and implementation.
High-quality samples are critical for biomarker
research. Proper collection, handling, and storage of
samples are essential to preserve the integrity of
biomolecules and ensure accurate biomarker
measurements. Inadequate sample handling can
compromise the reliability and validity of biomarker
data. Some diseases may require a combination of
biomarkers to accurately diagnose or predict
outcomes. Combining multiple biomarkers can
increase diagnostic accuracy, but it also adds
complexity to data analysis and interpretation.
Developing robust algorithms and computational
methods to integrate multi-omics data is a significant
challenge. The cost associated with biomarker
discovery, validation, and implementation can be
substantial. Additionally, ensuring accessibility to
biomarker tests for all patients, regardless of
socioeconomic status or geographical location, is
critical for equitable healthcare delivery. For
biomarkers to have a meaningful impact on patient
care, they must demonstrate clear clinical utility and
cost-effectiveness. Healthcare providers need to be
convinced of the added value of using biomarkers in
their decision-making processes, and their integration
into clinical practice may require changes in
healthcare workflows. Some biomarkers may exhibit
dynamic changes over time, making longitudinal
monitoring essential. Understanding how biomarkers
evolve in response to disease progression or treatment
is critical for their accurate interpretation and clinical
use. In complex diseases, biomarkers may interact
with each other or be influenced by confounding
factors, such as age, sex, and comorbidities.
Accounting for these interactions and confounders is
necessary to interpret biomarker data accurately.
Future Directions and Emerging Trends
Artificial intelligence (AI) and machine learning
(ML) have shown tremendous promise in
transforming biomarker discovery. AI algorithms can
efficiently analyze vast amounts of omics data,
electronic health records (EHRs), and other clinical
data to identify patterns, correlations, and potential
biomarkers. ML models can predict disease risk,
treatment response, and patient outcomes based on
individual patient data, enabling personalized
medicine. The integration of AI and ML in biomarker
discovery is expected to accelerate the identification
of novel biomarkers and lead to more precise and
effective diagnostic and therapeutic approaches.
Liquid biopsy, which involves analyzing circulating
biomolecules in bodily fluids like blood, has emerged
as a powerful non-invasive method for biomarker
detection. Liquid biopsies can provide real-time
monitoring of disease progression, treatment
response, and the emergence of drug resistance,
particularly in cancer. Additionally, non-invasive
methods like breath analysis and wearable biosensors
are being explored for the detection of biomarkers
associated with various diseases and conditions.
These non-invasive approaches offer convenience for
patients and have the potential to revolutionize
disease diagnosis and monitoring.
Traditional clinical trials often enroll large cohorts of
patients without considering their individual
differences in genetics or disease subtypes.
Biomarker-based clinical trial design involves
stratifying patients based on specific biomarkers to
target treatments to those who are most likely to
benefit. This approach increases the likelihood of
successful trial outcomes and accelerates drug
development by focusing on patient subgroups with
the highest chances of responding to the treatment.
Biomarker-based patient stratification has the
potential to improve clinical trial efficiency and lead
to more targeted therapies.
As the field of personalized medicine continues to
advance, there is increasing interest in implementing
precision medicine initiatives at a population level.
This involves integrating genomic and other
biomarker data with health information from large
cohorts to identify disease risk factors and potential
interventions for different population groups.
Population-wide precision medicine initiatives aim to
improve public health by targeting preventive
measures and tailored interventions based on
individual risk profiles. These initiatives also have the
potential to identify health disparities and optimize
healthcare resource allocation.
Conclusion
The advances in biomarkers and personalized
medicine have revolutionized healthcare, offering the
promise of more precise and tailored treatments for
individual patients. The integration of omics
technologies, AI, and machine learning has
accelerated biomarker discovery, enabling early
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disease detection, improved treatment selection, and
patient stratification in clinical trials. Liquid biopsies
and non-invasive biomarker detection methods have
brought convenience and real-time monitoring to
patient care. These advancements have profound
implications for personalized treatment and
healthcare, enhancing treatment efficacy, patient
outcomes, and overall healthcare efficiency. To fully
realize the potential of biomarkers in clinical practice,
rigorous validation, standardization, ethical
considerations, and collaborative efforts are essential.
With ongoing research and translation efforts,
biomarkers are poised to transform the future of
medicine, providing targeted and effective
interventions for patients worldwide.
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