This Slide talks about Apple's ResearchKit which is an open source framework introduced by Apple that allows researchers and developers to create powerful apps for medical research
Matteo Crippa: ResearchKit: an open source framework by Apple for medical re...Mobile Trends
Matteo Crippa - ResearchKit - an open source framework by Apple for medical research.
During early 2015 Apple has released an awesome open source framework to allow researchers and developers to create powerful apps for medical research and clinical trials. Are you ready to improve the framework with a pull request and help other people’s life?
Pathways for patient facing apps using ResearchKit, HealthKit and CareKitMobisoft Infotech LLC
Technology now can manage healthcare and medical apps development from academic research clinical trials to care coordination from service providers. Tools from Apple, Google, Samsung will be intrinsic part of development process. Researchers can facilitate academic or pre-commercial clinical trials using ResearchKit by Apple or less-known ResearchStack by Google. Healthcare Startups can take advantage of HealthKit and Google Fit repositories on your mobile devices. Finally, services provider can utilize CareKit to manage treatment and coordinate care plans with patients.
HXR 2016: The Health IoT: Remote Care and Mobile Solutions -Valeska SchroederHxRefactored
Through new telehealth technologies and increased data analysis physicians are gaining insights into patients like never before, allowing them to facilitate early interventions, improve adherence, and reduce readmission rates -- not to mention at a price more affordable than ever. The companies you’ll hear from in this session are using a healthy and innovative mix of data, educational tools, sensors, and more to improve patient outcomes.
In this data driven world, health conscious people are actively tracking and analyzing multiple activities like sleep cycle, calories consumed, monitoring bodily functions, etc. Deriving the maximum output from apps is still a challenge for many users and providers as data in silos doesn’t really have power to paint the complete picture of your well being.
Imagine a system where an app that monitors your calorie intake and is able to share the calorie consumption data to your fitness/workout app. The workout app, based on this new information, adjusts your activity goals to maintain the desired levels of fitness.
HealthKit intends to bring in a holistic approach to your wellness with easy collection and sharing of data among various wellness/fitness and health apps from one centralized location.
KEY TAKEAWAYS:
Opportunities and challenges in mhealth, wellness and fitness domain
HealthKit: The overview, advantages of HealthKit and its usage determining factors
HealthKit in action- Live demo
HealthKit application areas - Present and future
Mobile Applications for Heart and Blood Pressure MonitoringEMMAIntl
Nowadays, there are mobile applications for almost every utility and in every domain. From e-commerce, finance, education, food-industry to healthcare, mobile applications provide impeccable services as these software tools in our mini-computers provide the best user experience and equivalent internet access as observed in a web browser. February is the American Heart Association month and at EMMA International we celebrate this month by presenting this blog on mobile applications that provide services for heart and blood pressure monitoring...
Matteo Crippa: ResearchKit: an open source framework by Apple for medical re...Mobile Trends
Matteo Crippa - ResearchKit - an open source framework by Apple for medical research.
During early 2015 Apple has released an awesome open source framework to allow researchers and developers to create powerful apps for medical research and clinical trials. Are you ready to improve the framework with a pull request and help other people’s life?
Pathways for patient facing apps using ResearchKit, HealthKit and CareKitMobisoft Infotech LLC
Technology now can manage healthcare and medical apps development from academic research clinical trials to care coordination from service providers. Tools from Apple, Google, Samsung will be intrinsic part of development process. Researchers can facilitate academic or pre-commercial clinical trials using ResearchKit by Apple or less-known ResearchStack by Google. Healthcare Startups can take advantage of HealthKit and Google Fit repositories on your mobile devices. Finally, services provider can utilize CareKit to manage treatment and coordinate care plans with patients.
HXR 2016: The Health IoT: Remote Care and Mobile Solutions -Valeska SchroederHxRefactored
Through new telehealth technologies and increased data analysis physicians are gaining insights into patients like never before, allowing them to facilitate early interventions, improve adherence, and reduce readmission rates -- not to mention at a price more affordable than ever. The companies you’ll hear from in this session are using a healthy and innovative mix of data, educational tools, sensors, and more to improve patient outcomes.
In this data driven world, health conscious people are actively tracking and analyzing multiple activities like sleep cycle, calories consumed, monitoring bodily functions, etc. Deriving the maximum output from apps is still a challenge for many users and providers as data in silos doesn’t really have power to paint the complete picture of your well being.
Imagine a system where an app that monitors your calorie intake and is able to share the calorie consumption data to your fitness/workout app. The workout app, based on this new information, adjusts your activity goals to maintain the desired levels of fitness.
HealthKit intends to bring in a holistic approach to your wellness with easy collection and sharing of data among various wellness/fitness and health apps from one centralized location.
KEY TAKEAWAYS:
Opportunities and challenges in mhealth, wellness and fitness domain
HealthKit: The overview, advantages of HealthKit and its usage determining factors
HealthKit in action- Live demo
HealthKit application areas - Present and future
Mobile Applications for Heart and Blood Pressure MonitoringEMMAIntl
Nowadays, there are mobile applications for almost every utility and in every domain. From e-commerce, finance, education, food-industry to healthcare, mobile applications provide impeccable services as these software tools in our mini-computers provide the best user experience and equivalent internet access as observed in a web browser. February is the American Heart Association month and at EMMA International we celebrate this month by presenting this blog on mobile applications that provide services for heart and blood pressure monitoring...
IOT is revolutionizing various industries and we cannot ignore the huge transformation it can bring to the health care industry. IOT combined with the analytics and cloud can provide unprecedented capabilities in healthcare – virtual healthcare, predictive diagnostics, preventive care and targeted care to name a few. It can help in improving effectiveness and quality of patient care at the same time help the healthcare organizations to improve efficiency and improve their financial and administrative performance.
The healthcare ecosystem is witnessing a huge transformation lately; propelled by improved care and patient outcomes as the critical drivers. Briefly put, organizations (providers, hospitals and all) are leveraging the potential of Internet of Things, to empower their people, patients to take control of their own health. In a subtle way, redefining the way people, sensors, apps, devices and wearables can interact with each other in a secure environment, and take the healthcare experience to the next level.
A recent survey by Forrester Consulting suggests 90% of the Healthcare IT departments are ready to adapt IoT based solutions. And, 52% of the surveyed respondents are already incorporating IoT technology.
With IoT as a powerful enabler, innovative apps and wearables are taking strong roots in the healthcare ecosystem; health bands, fitness devices, calorie meters, heart rate monitors, to name a few. Such healthcare devices are used by physicians to record patient’s biometric information as they deliver exceptional patient monitoring and management results on-the-go.
The health emergency underway worldwide has highlighted the need to strengthen the surveillance and care of the sick at home, to avoid hospital overcrowding that we have seen in recent months inevitably compromise the management of the emergency itself. X-RAIS is an AI tool, which as a third eye supports radiologists during the reporting phase of radiological images. Within this context, we extended X-RAIS capabilities with ALFABETO (ALl FAster BEtter TOgether).
HXR 2016: The Health IoT: Remote Care and Mobile Solutions -Andrew Hooge, Val...HxRefactored
Through new telehealth technologies and increased data analysis physicians are gaining insights into patients like never before, allowing them to facilitate early interventions, improve adherence, and reduce readmission rates -- not to mention at a price more affordable than ever. The companies you’ll hear from in this session are using a healthy and innovative mix of data, educational tools, sensors, and more to improve patient outcomes.
HxRefactored 2015: Drew Schiller "Beyond the Bracelet"HxRefactored
Drew Schiller, Co-founder & CTO of Validic discusses changes in healthcare as a result of the wearable movement which enables patients to take a more active role in their own healthcare.
With new Apples New Updates and launches at Event on Sep 9 2015. An Application called Health, which makes company’s direction towards gathering and organizing your health data.
Is mHealth Prescribing: Dead or Thriving?AppScript
App rating is happening everywhere in the ecosystem, but without putting apps in practice, evaluating the prescribing data and patient feedback, we only have half the story. Learn about the prescribing data, rating and scoring methodologies and the evidence of the growing promise of mobile health curation, discovery and distribution.
HXR 2016: Data Insights: Mining, Modeling, and Visualizations- Niraj KatwalaHxRefactored
Data is useless if it fails to inform, which is precisely what data experts are furiously working on: turning raw informatics into meaningful narratives that begin to shift our standards. From the individual to the population level, data is leading both policy and better decision making in the clinical sphere.
Healthcare ecosystem is witnessing a huge transformation lately propelled by improved care and patient outcomes as the critical drivers, in addition mobile technology and IoT are leading the way for innovation in the healthcare industry, by integration sensor network such as Beacons, NFC, RFID etc.. that will play an important roles to improvise the quality of services in Intelligent Healthcare sectors .
Workplace Wellness Goes Digital: Digital Health Technology Means Better Engag...Validic
Historically, some of challenges for corporate wellness programs have been relying on participant's manual tracking and predominantly self reported data. This data may not be entirely accurate or truthful. Additional challenges for these programs include retaining and engaging participants to generate positive health outcomes and behavior change.
Sleep. Diet. Physical Activity. Even Stress. Today, there are digital health devices and applications to track and monitor all of these critical components of a healthy lifestyle. Technology can now provide a holistic view of a patient's health, nutrition and physical activity. And, solutions like Validic are providing a frictionless data exchange that makes it significantly easier for employer groups and wellness companies to consume this participant information and put it to meaningful use.
Integrating digital health data enables employer groups and wellness companies to focus on building robust technology solutions for behavior change, participant engagement and health improvement.
Data Mining as A Service in Medical DevicesEMMAIntl
Data mining is the field of Computer Science that forms the basis for data analytics. As the term specifies, it is utilized for ‘mining’ or extracting the most significant data from ‘Big Data’ or massive data sets. It not only serves as an extraction tool but also assists manufacturers and researchers in deriving hypotheses or conclusions from the existing Big Data sets, which can be applied toward improving existing services. Even though Data Mining is extensively utilized in commercial domains such as e-commerce or finance, it is indeed also proving to be vital for improving services in the health care domain. When utilized for developing or enhancing medical services, manufacturers should make sure their mining tool is safe and qualified enough to be integrated with medical devices...
Application Of Python in Medical ScienceAditya Nag
Python is an interpreted high-level general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant indentation. Its language constructs, as well as its object-oriented approach, aim to help programmers write clear, logical code for small and large-scale projects.
IOT is revolutionizing various industries and we cannot ignore the huge transformation it can bring to the health care industry. IOT combined with the analytics and cloud can provide unprecedented capabilities in healthcare – virtual healthcare, predictive diagnostics, preventive care and targeted care to name a few. It can help in improving effectiveness and quality of patient care at the same time help the healthcare organizations to improve efficiency and improve their financial and administrative performance.
The healthcare ecosystem is witnessing a huge transformation lately; propelled by improved care and patient outcomes as the critical drivers. Briefly put, organizations (providers, hospitals and all) are leveraging the potential of Internet of Things, to empower their people, patients to take control of their own health. In a subtle way, redefining the way people, sensors, apps, devices and wearables can interact with each other in a secure environment, and take the healthcare experience to the next level.
A recent survey by Forrester Consulting suggests 90% of the Healthcare IT departments are ready to adapt IoT based solutions. And, 52% of the surveyed respondents are already incorporating IoT technology.
With IoT as a powerful enabler, innovative apps and wearables are taking strong roots in the healthcare ecosystem; health bands, fitness devices, calorie meters, heart rate monitors, to name a few. Such healthcare devices are used by physicians to record patient’s biometric information as they deliver exceptional patient monitoring and management results on-the-go.
The health emergency underway worldwide has highlighted the need to strengthen the surveillance and care of the sick at home, to avoid hospital overcrowding that we have seen in recent months inevitably compromise the management of the emergency itself. X-RAIS is an AI tool, which as a third eye supports radiologists during the reporting phase of radiological images. Within this context, we extended X-RAIS capabilities with ALFABETO (ALl FAster BEtter TOgether).
HXR 2016: The Health IoT: Remote Care and Mobile Solutions -Andrew Hooge, Val...HxRefactored
Through new telehealth technologies and increased data analysis physicians are gaining insights into patients like never before, allowing them to facilitate early interventions, improve adherence, and reduce readmission rates -- not to mention at a price more affordable than ever. The companies you’ll hear from in this session are using a healthy and innovative mix of data, educational tools, sensors, and more to improve patient outcomes.
HxRefactored 2015: Drew Schiller "Beyond the Bracelet"HxRefactored
Drew Schiller, Co-founder & CTO of Validic discusses changes in healthcare as a result of the wearable movement which enables patients to take a more active role in their own healthcare.
With new Apples New Updates and launches at Event on Sep 9 2015. An Application called Health, which makes company’s direction towards gathering and organizing your health data.
Is mHealth Prescribing: Dead or Thriving?AppScript
App rating is happening everywhere in the ecosystem, but without putting apps in practice, evaluating the prescribing data and patient feedback, we only have half the story. Learn about the prescribing data, rating and scoring methodologies and the evidence of the growing promise of mobile health curation, discovery and distribution.
HXR 2016: Data Insights: Mining, Modeling, and Visualizations- Niraj KatwalaHxRefactored
Data is useless if it fails to inform, which is precisely what data experts are furiously working on: turning raw informatics into meaningful narratives that begin to shift our standards. From the individual to the population level, data is leading both policy and better decision making in the clinical sphere.
Healthcare ecosystem is witnessing a huge transformation lately propelled by improved care and patient outcomes as the critical drivers, in addition mobile technology and IoT are leading the way for innovation in the healthcare industry, by integration sensor network such as Beacons, NFC, RFID etc.. that will play an important roles to improvise the quality of services in Intelligent Healthcare sectors .
Workplace Wellness Goes Digital: Digital Health Technology Means Better Engag...Validic
Historically, some of challenges for corporate wellness programs have been relying on participant's manual tracking and predominantly self reported data. This data may not be entirely accurate or truthful. Additional challenges for these programs include retaining and engaging participants to generate positive health outcomes and behavior change.
Sleep. Diet. Physical Activity. Even Stress. Today, there are digital health devices and applications to track and monitor all of these critical components of a healthy lifestyle. Technology can now provide a holistic view of a patient's health, nutrition and physical activity. And, solutions like Validic are providing a frictionless data exchange that makes it significantly easier for employer groups and wellness companies to consume this participant information and put it to meaningful use.
Integrating digital health data enables employer groups and wellness companies to focus on building robust technology solutions for behavior change, participant engagement and health improvement.
Data Mining as A Service in Medical DevicesEMMAIntl
Data mining is the field of Computer Science that forms the basis for data analytics. As the term specifies, it is utilized for ‘mining’ or extracting the most significant data from ‘Big Data’ or massive data sets. It not only serves as an extraction tool but also assists manufacturers and researchers in deriving hypotheses or conclusions from the existing Big Data sets, which can be applied toward improving existing services. Even though Data Mining is extensively utilized in commercial domains such as e-commerce or finance, it is indeed also proving to be vital for improving services in the health care domain. When utilized for developing or enhancing medical services, manufacturers should make sure their mining tool is safe and qualified enough to be integrated with medical devices...
Application Of Python in Medical ScienceAditya Nag
Python is an interpreted high-level general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant indentation. Its language constructs, as well as its object-oriented approach, aim to help programmers write clear, logical code for small and large-scale projects.
An abundance of data is allowing CMOs and CIOs to innovate in new ways, to create highly targeted, personalised products and services. But how do they win the digital trust of their customers in order to innovate? And how do they harness that data without putting people’s private information at risk?
Download our new research paper, The Digital Trust Paradox: The Key to Product Innovation via Big Data, to find out how digital trust is essential when it comes to innovation and how CIOs and CMOs can work together to earn it.
The new research paper, exclusive to BVEx, includes research into consumer attitudes and sentiment on sharing personal and private data and reveals how opportunities to innovate can only exist if a well-defined value exchange is in place. Consumers, savvy to marketing tactics, will only share their data when they receive something of concrete utility in return. For example, this could be self-knowledge or new and helpful services. Once this utility has been achieved, a circle of trust or 'digital trust', forms and opportunities to innovate can occur.
Quahog Life Sciences is building an AI based Healthcare Decision System (Health DS) that promises to take the accuracy of health care decisions to a new level using machine learning and advanced analytics.
Regulatory Concerns When Running Virtual/Paperless Clinical TrialsTarget Health, Inc.
With drug and device manufacturers and the U.S. Food and Drug Administration (FDA) supplying much of the push, so-called paperless clinical trials are gaining momentum. In this eClinical Forum webinar, Dr. Jules Mitchel, President of Target Health, facilitated the discussion on the future landscape and regulatory concerns of paperless clinical trials and clinical trial design incorporating mobile tools.
A report on macro trends relating to health technology, produced in a one-day topic sprint by the members of KANT Berlin: Alper Çuğun, Chris Eidhof, Martin Spindler, Matt Patterson and Peter Bihr. (CC by)
To learn more about KANT Berlin and its members, please visit www.kantberlin.com
Plug In Generator To Produce Variant Outputs For Unique Data.IJRES Journal
Our modern world comprising of abundant chronic diseases which are affecting humankind, awful thing is that they affect the people without being notified until the end. In this project we proposed a system in which the user identifies the disease by providing the symptoms which he is experiencing. The user selects the multiple symptoms which he/she is suffering and submits them for evaluation using String Matching System. The database consists of limited number of diseases, with well organized pattern structure of symptoms. Using a friendly interface, user can input the data in the questionnaire form developed. Artificial Bee Colony Optimization [ABC] algorithm, i.e., a Machine Learning algorithm embedded in the project provides an optimistic disease along with its prevention and curing methods, but before ABC produces optimistic disease, String Matching System approach gives an accurate disease with which the human is suffering from. The above said data transformed into web can be considered as an offline browsing system which can be used by any educated personalities, to generally know what is happening and gets enough idea before visiting the practitioner.
Reforming Medical Device approval processes especially in software requires careful consideration of shifting risks to patients without adequate protections.
Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...VarunMahajani
Disruption of blood supply to lung alveoli due to blockage of one or more pulmonary blood vessels is called as Pulmonary thromboembolism. In this presentation we will discuss its causes, types and its management in depth.
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: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 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.
Report Back from SGO 2024: What’s the Latest in Cervical Cancer?bkling
Are you curious about what’s new in cervical cancer research or unsure what the findings mean? Join Dr. Emily Ko, a gynecologic oncologist at Penn Medicine, to learn about the latest updates from the Society of Gynecologic Oncology (SGO) 2024 Annual Meeting on Women’s Cancer. Dr. Ko will discuss what the research presented at the conference means for you and answer your questions about the new developments.
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
- WOMEN’S HEALTH: FERTILITY PRESERVATION
- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES?
- ARTIFICIAL INTELLIGENCE AND ETHICS
- GENE THERAPY
- BEYOND BORDERS: GLOBAL INITIATIVES FOR DEMOCRATIZING LIFE SCIENCE TECHNOLOGIES AND PROMOTING ACCESS TO HEALTHCARE
- ETHICAL CHALLENGES IN LIFE SCIENCES
- Prix Galien International Awards Ceremony
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – 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 N0—N12, 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 N0—N12 (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.
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, Ganong’s 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
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
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
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
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.
- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
- Video recording of this lecture in Arabic language: https://youtu.be/Ve4P0COk9OI
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
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2. HealthKit
Healthkit provides a single platform where applications can
contribute to a composite profile of different health and
activity data. Data can be gathered by using iPhone’s
motion sensors, accelerometers, gyroscopes, microphones
or even the touch screen. There are other third party
devices like blood sugar meters, weight machines, heart
rate monitors, blood oxygen level monitors etc. that can be
connected to the iPhone via various methods to provide
data to health app. This data is very helpful to the
individuals, doctors and researchers.
3. ResearchKit
ResearchKit is an open source framework introduced by
Apple that allows researchers and developers to create
powerful apps for medical research
Our focus for this article is to present an overview on
how apple’s health kit is being used in medical research-
the ResearchKit. Research kit is a framework tailored
towards medical research. Using ResearchKit,
researchers can create app easily. ResearchKit works
with iPhone, Healthkit and third party apps or devices to
turn itself in powerful diagnostic tool.
5. ResearchKit
The basic principle for these apps can be divided into
three modules-
1. Surveys
2. Informed Consent
3. Active Tasks
6. mPower App
The variability in Parkinson’s disease
symptoms has left many questions
unanswered. So the University of Rochester
and Sage Bionetworks created the mPower app
to precisely measure data such as dexterity,
balance, memory, and gait. This information
could help researchers better understand how
various symptoms are connected to
Parkinson’s disease. In turn, participants could
start to recognize their own signs and
symptoms.
9. Who will host the data?
According to Fortune-
Apple is acting only as a conduit for the iPhone data to get to
researchers. For now, universities that build apps on the ResearchKit
platform will host their own data. However, it’s possible that the data
might eventually end up on government servers, especially if the
National Institutes of Health deems it essential to the public good, said
Ramirez. Meanwhile, health data from private companies often is
hosted on the companies’ own servers if they are large, or Amazon’s
AMZN -0.83% cloud if the companies are small.
src-http://fortune.com/2015/03/15/apples-researchkit-is-a-big-hit-at-
sxsw/
10. Who will have access to data?
This study gives you the option to share your data in 2 ways:
1- Share broadly with the research world: You can choose to share your coded study data with qualified researchers worldwide for
use in this research and beyond. Coded study data is data that does not include personal information such as your name or email.
Qualified researchers are registered users of Synapse who have agreed to use the data in an ethical manner for research purposes,
and have agreed to not attempt to re-identify you. If you choose to share your coded study data, the coded data will be added to a
shared dataset available to qualified researchers on the Sage Bionetworks Synapse servers. (www.synapse.org). Sage Bionetworks
will have no oversight on the future research that qualified researchers may conduct with the coded study data.
2- Share with Sage Bionetworks and its partners only: You can choose to share your study data only with the study team and its
partners. The study team includes the sponsor of the research and any other researchers or partners named in the consent
document. Sharing your data only with Sage Bionetworks means that your data will not be made available to anyone other than those
listed in the consent document and for the purposes of this study only.
If required by law, your data (study data and account information), and the signed consent form may be disclosed to:
• The US National Institute of health, Department of Health and Human Services agencies, Office for Human Research
Protection, and other agencies as required,
• Institutional Review Board who monitors the safety, effectiveness and conduct of the research being conducted,
• Others, if the law requires
The results of this research study may be presented at meetings or in publications. If the results of this study are made public, only
coded study data will be used, that is, your personal information will not be disclosed.
You can change the data sharing setting through the app’s preferences at any time. For additional information review the study
website parkinsonmpower.org