The Precision Medicine Initiative's All of Us Research Program: an agenda for research on its ethical, legal, and social issues
Pamela Sankar,Lisa S. Parker +1 more
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TLDR
It is concluded that PMI's All of Us Research Program represents a significant opportunity and obligation to identify, analyze, and respond to ELSI, and is called on the PMI to initiate a research program capable of taking on these challenges.About:
This article is published in Genetics in Medicine.The article was published on 2017-07-01 and is currently open access. It has received 204 citations till now. The article focuses on the topics: Health care & Research program.read more
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Wearables and the medical revolution.
TL;DR: Current and prospective wearable technologies and their progress toward clinical application are reviewed and technologies underlying common, commercially available wearable sensors and early-stage devices and research to support the use of these devices in healthcare are described.
Journal ArticleDOI
Artificial intelligence in clinical and genomic diagnostics.
Raquel Dias,Ali Torkamani +1 more
TL;DR: This review summarizes the main classes of problems that AI systems are well suited to solve and describes the clinical diagnostic tasks that benefit from these solutions, and focuses on emerging methods for specific tasks in clinical genomics.
Journal ArticleDOI
Artificial intelligence for precision medicine in neurodevelopmental disorders.
TL;DR: A precision medicine conundrum is examined: can artificial intelligence offer a breakthrough in predicting risks and prognosis for neurodevelopmental disorders?
Book ChapterDOI
Artificial Intelligence and Personalized Medicine.
TL;DR: It is argued that AI's ability to advance personalized medicine will depend critically on not only the refinement of relevant assays, but also on ways of storing, aggregating, accessing, and ultimately integrating, the data they produce.
Journal ArticleDOI
Analysis commons, a team approach to discovery in a big-data environment for genetic epidemiology.
Jennifer A. Brody,Alanna C. Morrison,Joshua C. Bis,Jeffrey R. O'Connell,Michael R. Brown,Jennifer E. Huffman,Darren C. Ames,Andrew Carroll,Matthew P. Conomos,Stacey Gabriel,Richard A. Gibbs,Stephanie M. Gogarten,Namrata Gupta,Cashell E. Jaquish,Andrew D. Johnson,Joshua P. Lewis,Xiaoming Liu,Alisa K. Manning,Alisa K. Manning,George J. Papanicolaou,Achilleas N. Pitsillides,Kenneth Rice,William J Salerno,Colleen M. Sitlani,Nicholas L. Smith,Susan R. Heckbert,Cathy C. Laurie,Braxton D. Mitchell,Braxton D. Mitchell,Ramachandran S. Vasan,Stephen S. Rich,Jerome I. Rotter,James G. Wilson,Eric Boerwinkle,Eric Boerwinkle,Bruce M. Psaty,Bruce M. Psaty,L. Adrienne Cupples +37 more
TL;DR: Analysis commons, a team approach to discovery in a big-data environment for genetic epidemiology, shows the potential of big data to improve the quality of research in the rapidly changing environment.
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