The document summarizes a roundtable discussion on tele-healthcare solutions and cloud service models between Jenn-Hwan Tarng from the Industrial Technology Research Institute and Chi-Hung Lin from the Taipei City Government Department of Health. It outlines Taiwan's plans for a health cloud, including using cloud computing and wireless sensing technologies to improve healthcare access and efficiency. It also discusses Taipei's policy design for a health cloud, focusing on privacy protection, technology enabling better care, and using a hub-based network. Challenges of adopting a health cloud are noted, such as ensuring privacy, interoperability, and developing payment systems for preventive care.
According to a report from MarketResearch.com, millions of new Internet of Medical Things (IoMT) will be added to health systems and the market segment is poised to hit $117 billion by 2020. Medical device manufacturers have traditionally focused on patient safety and time to market rather than security. Long FDA approval cycles mean that approved devices are often running outdated operating systems versions with known vulnerabilities and limited or no patching ability. This lack of adequate security in IoT and IoMT is why Gartner is predicting that by 2020 25% of all enterprise breaches will involve IoT. Securing IoMT requires close collaboration between biomedical and IT teams and a plan to address three core areas of IoMT security â physical, connection and data. This session will focus on practical steps to improving IoMT security without expensive infrastructure upgrades or wholesale legacy medical device replacements.
An innovative IoT service for medical diagnosis IJECEIAES
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Due to the misdiagnose of diseases that increased recently in a scarily manner, many researchers devoted their efforts and deployed technologies to improve the medical diagnosis process and reducing the resulted risk. Accordingly, this paper proposed architecture of a cyber-medicine service for medical diagnosis, based internet of things (IoT) and cloud infrastructure (IaaS). This service offers a shared environment for medical data, and extracted knowledge and findings between patients and doctors in an interactive, secured, elastic and reliable way. It predicts the medical diagnosis and provides an appropriate treatment for the given symptoms and medical conditions based on multiple classifiers to assure high accuracy. Moreover, it entails different functionalities such as on-demand searching for scientific papers and diseases description for unrecognized combination of symptoms using web crawler to enrich the results. Where such searching results from crawler, are processed, analyzed and added to the resident knowledge base (KB) to achieve adaptability and subsidize the service predictive ability.
Internet of Things (IoT) and Artificial Intelligence (AI) role in Medical and...Hamidreza Bolhasani
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Internet of Things (IoT) and Artificial Intelligence (AI) role in Medical and Healthcare Systems
+ History of IoT
+ Internet of Nano Things (IoNT)
+ IoT and IoNT for Medical and Healthcare Systems
+ IoT and Artificial Intelligence (AI)
+ IoT and AI for Health
+ Deep Learning Accelerator
DIGITAL HEALTH: DATA PRIVACY AND SECURITY WITH CLOUD COMPUTING Akshay Mittal
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Emerging Threats and Countermeasures - Digital health is the convergence of digital technology in healthcare. The emerging technology and the use of innovations are needed in healthcare for advancements and better outcomes. With the use of innovations, new threats and challenges are emerging in the industry which needs to be managed for efficient operations.
According to a report from MarketResearch.com, millions of new Internet of Medical Things (IoMT) will be added to health systems and the market segment is poised to hit $117 billion by 2020. Medical device manufacturers have traditionally focused on patient safety and time to market rather than security. Long FDA approval cycles mean that approved devices are often running outdated operating systems versions with known vulnerabilities and limited or no patching ability. This lack of adequate security in IoT and IoMT is why Gartner is predicting that by 2020 25% of all enterprise breaches will involve IoT. Securing IoMT requires close collaboration between biomedical and IT teams and a plan to address three core areas of IoMT security â physical, connection and data. This session will focus on practical steps to improving IoMT security without expensive infrastructure upgrades or wholesale legacy medical device replacements.
An innovative IoT service for medical diagnosis IJECEIAES
Â
Due to the misdiagnose of diseases that increased recently in a scarily manner, many researchers devoted their efforts and deployed technologies to improve the medical diagnosis process and reducing the resulted risk. Accordingly, this paper proposed architecture of a cyber-medicine service for medical diagnosis, based internet of things (IoT) and cloud infrastructure (IaaS). This service offers a shared environment for medical data, and extracted knowledge and findings between patients and doctors in an interactive, secured, elastic and reliable way. It predicts the medical diagnosis and provides an appropriate treatment for the given symptoms and medical conditions based on multiple classifiers to assure high accuracy. Moreover, it entails different functionalities such as on-demand searching for scientific papers and diseases description for unrecognized combination of symptoms using web crawler to enrich the results. Where such searching results from crawler, are processed, analyzed and added to the resident knowledge base (KB) to achieve adaptability and subsidize the service predictive ability.
Internet of Things (IoT) and Artificial Intelligence (AI) role in Medical and...Hamidreza Bolhasani
Â
Internet of Things (IoT) and Artificial Intelligence (AI) role in Medical and Healthcare Systems
+ History of IoT
+ Internet of Nano Things (IoNT)
+ IoT and IoNT for Medical and Healthcare Systems
+ IoT and Artificial Intelligence (AI)
+ IoT and AI for Health
+ Deep Learning Accelerator
DIGITAL HEALTH: DATA PRIVACY AND SECURITY WITH CLOUD COMPUTING Akshay Mittal
Â
Emerging Threats and Countermeasures - Digital health is the convergence of digital technology in healthcare. The emerging technology and the use of innovations are needed in healthcare for advancements and better outcomes. With the use of innovations, new threats and challenges are emerging in the industry which needs to be managed for efficient operations.
In this presentation, Sheba introduces the topic of IoT and the associated trends. Sheba's interest areas lie in applications of IoT in healthcare and more particularly Physiotherapy.
Along with improvement of clouds, cloudlet and wearable devices, it becomes necessary to provide better medical information sharing over the internet. As we know, sharing medical information is very critical and challenging issue because medical information contains patientâs delicate information. The medical information sharing mainly includes collection, storage and sharing of medical information over the internet. In existing healthcare framework, patient asks health query/question which is being answered by multiple doctors. The user is provided with correct answer with the help of truth discovery method. The medical information and history of patient is directly delivered to the remote cloud. The paper proposes system to provide confidentiality of medical information and protect healthcare system from intrusion. In this proposed system, during the medical information collection stage, the Number Theory Research Unit (NTRU) algorithm is used to encrypt userâs vital signs collected various sensors. Then to protect medical information stored at remote cloud against the malicious attacks, a Collaborative Intrusion Detection System (CIDS) built on cloudlet mesh is proposed. Medical Knowledge Extraction (MKE) System is proposed to provide most reliable answer to the userâs health related query. MKE extract the medical knowledge from noisy query-answers pairs and estimate the trustworthiness degree and doctor expertise using truth discovery method.
This paper aims to provide an understanding of the model and exploring options available for complementing the technology and infrastructure needs of Healthcare organizations.
Harnessing and securing cloud in patient health monitoringAshok Rangaswamy
Â
Presented in International conference on Computer communications and Informatics (January 9-11, 2012) and got the paper indexed in IEEE Xplore.(link: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6158924&contentType=Conference+Publications&queryText%3DOpenCloudCare)
An Data Center Solution Architecture Architecture For Advanced Healthcare Mon...ijceronline
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Electronic Health Record (EHR) is a digital record shared across different healthcare settings, by network-connected enterprise-wide information systems called EHR systems. Cloud computing paradigm is one of the popular Health Information Technology infrastructures for facilitating Electronic Health Record (EHR) sharing and EHR integration. Healthcare clouds offer new possibilities, such as easy and ubiquitous access to medical data, and opportunities for new business models. However, they also bear new risks and raise challenges with respect to security and privacy aspects. The global economic crisis has affected the health sector. The costs of healthcare services rise and healthcare professionals are becoming scarce and hard to find, it is imminent that healthcare organizations consider adopting health information technology (HIT) systems. Healthcare professionals must have all the information they require to make prompt patient-care decisions. The growing of mobility connections, people can access all the resources hosted in the cloud any time using any device. The adoption of Cloud Computing in healthcare system for delivering health information and services, driven by the fact that healthcare services in Jordan are almost provided manually from tools to technologies, the growth of inhabitants and refugees crisis, healthcare stakeholders ICT consciousness, and the technical challenges and delays faces the implementation e-Healthcare system. The different problems concerning the managerial, administrative and management aspects, to the concern of physician or researcher, that necessities the infrastructure to process, store, manage patient data, analysis, diagnosis, and so on. Cloud computing is a significant alternative to solve many of these problems providing several advantages in terms of resource management and computational capabilities. In this paper we propose a national cloud computing data centers architecture solution to host healthcare system services computing resources components, proposing building a national e-health cloud environment to overcome many of the challenges confronting the success of Hakeem the core of the National e-Health System (NHS) for the provision of e-Health as a Service.
IoT based on secure personal healthcare using RFID technology and steganography IJECEIAES
Â
Internet of things (IoT) makes it attainable for connecting different various smart objects together with the internet. The evolutionary medical model towards medicine can be boosted by IoT with involving sensors such as environmental sensors inside the internal environment of a small room with a specific purpose of monitoring of person's health with a kind of assistance which can be remotely controlled. RF identification (RFID) technology is smart enough to provide personal healthcare providing part of the IoT physical layer through low-cost sensors. Recently researchers have shown more IoT applications in the health service department using RFID technology which also increases real-time data collection. IoT platform which is used in the following research is Blynk and RFID technology for the user's better health analyses and security purposes by developing a two-level secured platform to store the acquired data in the database using RFID and Steganography. Steganography technique is used to make the user data more secure than ever. There were certain privacy concerns which are resolved using this technique. Smart healthcare medical box is designed using SolidWorks health measuring sensors that have been used in the prototype to analyze real-time data.
CFP Special Session on Machine Learning on Edge for Smart Health in ICCAN 2019Harish-Chandra Dubey
Â
Call for Paper for Special Session on:âMachine Learning on Edge for Smart Health"
2nd International Conference on Computing Analytics and Networking (ICCAN 2019)
Important Dates:
Full Paper Submission: 30thAugust 2019
Notification to Authors: 15thSeptember2019
Final Camera Ready Submission: 1stNovember 2019
Conference Date: 14th -15th December 2019
Wearables and Internet-of-Things (IoT) form two important blocks in smart health
applications. Given their affordable cost for management these are trending and being
adopted worldwide. In traditional cloud based healthcare solutions, the patientâs data was
analysed in cloud for long-term monitoring and prediction.With emergence of machine
learning now wearable medical devices such as smartwatch are capable of performing
prediction and short-term monitoring this infusing security benefits by dint of local data
processing. Machine learning (ML) has emerged as enabling technology infusing smart
decision making and intelligent data processing on edge devices. Such edge devices are often
managed by a cloud server that acts as long-term decision maker providing a centralized yet
scalable control over component devices. Edge computing is a distributed computing
paradigm that leverages low-power embedded processors in an intermediary bridge between
the client layer and cloud layer. Edge computing advancements helped in leveraging a middle
layer for providing support for computation that can be offloaded from wearable and cloud
and instead be done on edge devices. With opensource solutions such as Raspberry Pi,
adopting edge computing for such application have become even easier.
Can machines deliver healthcare to you? With the Internet of Things, the healthcare industry can go beyond what was thought possible. Learn how IoT medical devices enabled by rigorous testing can usher in seamless data sharing, clear diagnosis and more in the future of healthcare.
A technology called cloud computing has generated a great deal of interest as well as trepidation in health care organizations across the globe. Along with the potential benefits of cost reduction, disaster recovery, and dynamic storage scalability come numerous concerns, of which security and patient information privacy are paramount. These concerns have been identified as a mixture of reality and perception that must be overcome for health care to take advantage of the benefits of cloud computing. To overcome the identified barriers to further expansion of health care into the cloud will require adoption of methodology proposed by others by performing detailed data touch point planning and configuration as well as fully taking advantage of new encryption and data center technology.
In this presentation, Sheba introduces the topic of IoT and the associated trends. Sheba's interest areas lie in applications of IoT in healthcare and more particularly Physiotherapy.
Along with improvement of clouds, cloudlet and wearable devices, it becomes necessary to provide better medical information sharing over the internet. As we know, sharing medical information is very critical and challenging issue because medical information contains patientâs delicate information. The medical information sharing mainly includes collection, storage and sharing of medical information over the internet. In existing healthcare framework, patient asks health query/question which is being answered by multiple doctors. The user is provided with correct answer with the help of truth discovery method. The medical information and history of patient is directly delivered to the remote cloud. The paper proposes system to provide confidentiality of medical information and protect healthcare system from intrusion. In this proposed system, during the medical information collection stage, the Number Theory Research Unit (NTRU) algorithm is used to encrypt userâs vital signs collected various sensors. Then to protect medical information stored at remote cloud against the malicious attacks, a Collaborative Intrusion Detection System (CIDS) built on cloudlet mesh is proposed. Medical Knowledge Extraction (MKE) System is proposed to provide most reliable answer to the userâs health related query. MKE extract the medical knowledge from noisy query-answers pairs and estimate the trustworthiness degree and doctor expertise using truth discovery method.
This paper aims to provide an understanding of the model and exploring options available for complementing the technology and infrastructure needs of Healthcare organizations.
Harnessing and securing cloud in patient health monitoringAshok Rangaswamy
Â
Presented in International conference on Computer communications and Informatics (January 9-11, 2012) and got the paper indexed in IEEE Xplore.(link: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6158924&contentType=Conference+Publications&queryText%3DOpenCloudCare)
An Data Center Solution Architecture Architecture For Advanced Healthcare Mon...ijceronline
Â
Electronic Health Record (EHR) is a digital record shared across different healthcare settings, by network-connected enterprise-wide information systems called EHR systems. Cloud computing paradigm is one of the popular Health Information Technology infrastructures for facilitating Electronic Health Record (EHR) sharing and EHR integration. Healthcare clouds offer new possibilities, such as easy and ubiquitous access to medical data, and opportunities for new business models. However, they also bear new risks and raise challenges with respect to security and privacy aspects. The global economic crisis has affected the health sector. The costs of healthcare services rise and healthcare professionals are becoming scarce and hard to find, it is imminent that healthcare organizations consider adopting health information technology (HIT) systems. Healthcare professionals must have all the information they require to make prompt patient-care decisions. The growing of mobility connections, people can access all the resources hosted in the cloud any time using any device. The adoption of Cloud Computing in healthcare system for delivering health information and services, driven by the fact that healthcare services in Jordan are almost provided manually from tools to technologies, the growth of inhabitants and refugees crisis, healthcare stakeholders ICT consciousness, and the technical challenges and delays faces the implementation e-Healthcare system. The different problems concerning the managerial, administrative and management aspects, to the concern of physician or researcher, that necessities the infrastructure to process, store, manage patient data, analysis, diagnosis, and so on. Cloud computing is a significant alternative to solve many of these problems providing several advantages in terms of resource management and computational capabilities. In this paper we propose a national cloud computing data centers architecture solution to host healthcare system services computing resources components, proposing building a national e-health cloud environment to overcome many of the challenges confronting the success of Hakeem the core of the National e-Health System (NHS) for the provision of e-Health as a Service.
IoT based on secure personal healthcare using RFID technology and steganography IJECEIAES
Â
Internet of things (IoT) makes it attainable for connecting different various smart objects together with the internet. The evolutionary medical model towards medicine can be boosted by IoT with involving sensors such as environmental sensors inside the internal environment of a small room with a specific purpose of monitoring of person's health with a kind of assistance which can be remotely controlled. RF identification (RFID) technology is smart enough to provide personal healthcare providing part of the IoT physical layer through low-cost sensors. Recently researchers have shown more IoT applications in the health service department using RFID technology which also increases real-time data collection. IoT platform which is used in the following research is Blynk and RFID technology for the user's better health analyses and security purposes by developing a two-level secured platform to store the acquired data in the database using RFID and Steganography. Steganography technique is used to make the user data more secure than ever. There were certain privacy concerns which are resolved using this technique. Smart healthcare medical box is designed using SolidWorks health measuring sensors that have been used in the prototype to analyze real-time data.
CFP Special Session on Machine Learning on Edge for Smart Health in ICCAN 2019Harish-Chandra Dubey
Â
Call for Paper for Special Session on:âMachine Learning on Edge for Smart Health"
2nd International Conference on Computing Analytics and Networking (ICCAN 2019)
Important Dates:
Full Paper Submission: 30thAugust 2019
Notification to Authors: 15thSeptember2019
Final Camera Ready Submission: 1stNovember 2019
Conference Date: 14th -15th December 2019
Wearables and Internet-of-Things (IoT) form two important blocks in smart health
applications. Given their affordable cost for management these are trending and being
adopted worldwide. In traditional cloud based healthcare solutions, the patientâs data was
analysed in cloud for long-term monitoring and prediction.With emergence of machine
learning now wearable medical devices such as smartwatch are capable of performing
prediction and short-term monitoring this infusing security benefits by dint of local data
processing. Machine learning (ML) has emerged as enabling technology infusing smart
decision making and intelligent data processing on edge devices. Such edge devices are often
managed by a cloud server that acts as long-term decision maker providing a centralized yet
scalable control over component devices. Edge computing is a distributed computing
paradigm that leverages low-power embedded processors in an intermediary bridge between
the client layer and cloud layer. Edge computing advancements helped in leveraging a middle
layer for providing support for computation that can be offloaded from wearable and cloud
and instead be done on edge devices. With opensource solutions such as Raspberry Pi,
adopting edge computing for such application have become even easier.
Can machines deliver healthcare to you? With the Internet of Things, the healthcare industry can go beyond what was thought possible. Learn how IoT medical devices enabled by rigorous testing can usher in seamless data sharing, clear diagnosis and more in the future of healthcare.
A technology called cloud computing has generated a great deal of interest as well as trepidation in health care organizations across the globe. Along with the potential benefits of cost reduction, disaster recovery, and dynamic storage scalability come numerous concerns, of which security and patient information privacy are paramount. These concerns have been identified as a mixture of reality and perception that must be overcome for health care to take advantage of the benefits of cloud computing. To overcome the identified barriers to further expansion of health care into the cloud will require adoption of methodology proposed by others by performing detailed data touch point planning and configuration as well as fully taking advantage of new encryption and data center technology.
Accessing Information of Emergency Medical Services through Internet of ThingsIJARIIT
Â
IoT is the advanced technology which is use in daily life. IoT make easy to connect different smart devices with
each other by using the internet. IOT is given the ability to computer system to run application program from different
vendors. So in this paper we are accessing the data based on IoT technology for emergency medical services. The fast
development of Internet of Thing.
COMBINING BLOCKCHAIN AND IOT FOR DECENTRALIZED HEALTHCARE DATA MANAGEMENTijcisjournal
Â
The emergence of the Internet of Things (IoT) has resulted in a significant increase in research on e-health.As the amount of patient data grows, it has become increasingly challenging to protect patients' privacy.Patient data is commonly stored in the cloud, making it difficult for users to control and protect their information. Moreover, the recent rise in security and surveillance breaches in the healthcare industry has
highlighted the need for a better approach to data storage and protection. Traditional models that rely on third-party control over patients' healthcare data are no longer reliable, as they have proven vulnerable to security breaches. To address these issues, blockchain technology has emerged as a promising solution.Blockchain-based protocols have the potential to provide a secure and efficient system for e-health applications that does not require trust in third-party intermediaries.
COMBINING BLOCKCHAIN AND IOT FOR DECENTRALIZED HEALTHCARE DATA MANAGEMENTijcisjournal
Â
The emergence of the Internet of Things (IoT) has resulted in a significant increase in research on e-health.
As the amount of patient data grows, it has become increasingly challenging to protect patients' privacy.
Patient data is commonly stored in the cloud, making it difficult for users to control and protect their
information. Moreover, the recent rise in security and surveillance breaches in the healthcare industry has
highlighted the need for a better approach to data storage and protection. Traditional models that rely on
third-party control over patients' healthcare data are no longer reliable, as they have proven vulnerable to
security breaches. To address these issues, blockchain technology has emerged as a promising solution.
Blockchain-based protocols have the potential to provide a secure and efficient system for e-health
applications that does not require trust in third-party intermediaries. The proposed protocol outlined in
this paper uses a blockchain-based approach to manage patient data securely and efficiently. Unlike
Bitcoin, which is primarily used for financial transactions, the protocol described here is designed
specifically for e-health applications. It employs a consensus mechanism that is more suitable for resource
constrained IoT devices, thereby reducing network costs and increasing efficiency. The proposed protocol
also provides a privacy-preserving access control mechanism that enables patients to have more control
over their healthcare data. By leveraging blockchain technology, the protocol ensures that only authorized
individuals can access the patient's data, which helps prevent data breaches and other security issues.
Finally, the security and privacy of the proposed protocol are analysed to ensure that it meets the
necessary standards for data protection. The protocol's effectiveness and efficiency are tested under
different scenarios to ensure that it can perform reliably and consistently. Finally, the protocol proposed in
this paper shows that how blockchain can be used to provide a secure and efficient system that empowers
patients to take control of their healthcare data.
1. Cybersecurity on Telehealth @NIST
2. Cybersecurity on Telehealth x Smart Home @NIST
3. Cloud-Native Privacy/Data Protection on Telehealth @CSA
4. Cloud-Native Security on Telehealth @CSA
5. Conclusions
Enhancing security features in cloud computing for healthcare using cipher an...eSAT Journals
Â
Abstract Health Care is the most important unindustrialized field. Cloud is an emerging trend in software industry. In medical field, there are large dataset comprising highly sensitive data about patientâs medical records. Based on these records, diagnosis for the patient will be given. Moving data to the cloud makes to explore a large information for diagnosis as expert documentation will also be stored as part of health record. Physicians from anywhere at any time can get access over these reports for better treatment. The Medicare industry vacillates to store these data to the cloud as the patients might feel insecure about their health records. This work introduces the idea of combining Cipher Cloud, Inter Cloud and ABE schemes, proposes an innovative method to enhance security features in the cloud by double encryption using algorithms and tools. By this, only authorized entities are proficient of accessing these records. Rather than storing data in single cloud, Inter Cloud (Multi-cloud) also adds advantage for our proposed work. Keywords: Virtualization, Cipher cloud, Trust, Encryption, Inter cloud
Enhancing security features in cloud computing for healthcare using cipher an...eSAT Publishing House
Â
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
The International Journal of Pharmacetical Sciences Letters (IJPSL) is an international online journal in English published everyday. The aim of this is to publish peer reviewed research and review articles without delay in the developing field of engineering and science Research.
Report-Fog Based Emergency System For Smart Enhanced Living EnvironmentKEERTHANA M
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Report-An ambient assisted-living emergency system exploits cloud and fog computing, an outdoor positioning mechanism, and emergency and communication protocols to locate activity-challenged individuals.
Transforming Healthcare Industry by Implementing Cloud Computingijtsrd
Â
In the present generation, healthcare has become the foremost imperative sector in todays medicinal eon. The massive private documents, responsive details are kept in a scalable manner. The healthcare industry has become more competitive in the digital world. As a thriving industry, its challenging for doctors to understand the moving technology in the healthcare sector. This also deals with the patient's nursing and maintains their portfolios. The overview of the project depicts a role played by the doctors, patients, management, and resource suppliers by implementing cloud technology in the healthcare industry. The platform was designed and developed for user friendly interactions where patients can connect with the management and doctors at any corner of the world. The peculiarity of the project was to withdraw the pen paper method followed by the sector for ages. Cloud computing CC has played a vital role in the project that helped and managed to store, secure large data files. The features while operating the system were QR codes, generating e mails, SMS text, and free trunk calls. This approach assists on track with each individuals health related documents, henceforward approving with the doctors to access the knowledge throughout the flow of emergency and firmly access policy. Besides the facts, it rescues the lifetime of the patients and mutually helps the doctors figure it out comfortably. The utilization of mobile aid applications may be a dynamic field and has received the attention of late. This development provides mobile technology additional enticing for mobile health m health applications. The m health defines as wireless telemedicine involving the utilization of mobile telecommunications and multimedia system technologies and their integration with mobile health care delivery systems. As well as human authentication protocols, whereas guaranteeing, has not been straightforward in light weight of their restricted capability of calculation and remembrance. Ms. Rohini Kulkarni | Pratibha Gayke "Transforming Healthcare Industry by Implementing Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, URL: https://www.ijtsrd.com/papers/ijtsrd46455.pdf Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/46455/transforming-healthcare-industry-by-implementing-cloud-computing/ms-rohini-kulkarni
A study on significance of adopting cloud computing paradigm in healthcare se...cloud100
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This is a very nice IEEE paper to get latest information on cloud computing security and privacy practices, challenges and the solution. This paper mainly discusses the significances of adopting cloud computing in healthcare sector and describes that how cloud computing can be adopted by the healthcare organization and what are the challenged for it.
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Â
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
These lecture slides, by Dr Sidra Arshad, offer a quick overview of physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar leads (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganongâs Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
The prostate is an exocrine gland of the male mammalian reproductive system
It is a walnut-sized gland that forms part of the male reproductive system and is located in front of the rectum and just below the urinary bladder
Function is to store and secrete a clear, slightly alkaline fluid that constitutes 10-30% of the volume of the seminal fluid that along with the spermatozoa, constitutes semen
A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
It surrounds the urethra just below the urinary bladder. It has anterior, median, posterior and two lateral lobes
Itâs work is regulated by androgens which are responsible for male sex characteristics
Generalised disease of the prostate due to hormonal derangement which leads to non malignant enlargement of the gland (increase in the number of epithelial cells and stromal tissue)to cause compression of the urethra leading to symptoms (LUTS
Tom Selleck Health: A Comprehensive Look at the Iconic Actorâs Wellness Journeygreendigital
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Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
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RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years â 64.8%, 20 years â 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP â more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0âN12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0âN12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
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i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2â3 criteria; moderate AUD: 4â5 criteria; severe AUD: 6â11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
Explore natural remedies for syphilis treatment in Singapore. Discover alternative therapies, herbal remedies, and lifestyle changes that may complement conventional treatments. Learn about holistic approaches to managing syphilis symptoms and supporting overall health.
Title: Sense of Taste
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
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Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound