Personalized Nutrition by Prediction of Glycemic Responses
David Zeevi,Tal Korem,Niv Zmora,Niv Zmora,David Israeli,Daphna Rothschild,Adina Weinberger,Orly Ben-Yacov,Dar Lador,Tali Avnit-Sagi,Maya Lotan-Pompan,Jotham Suez,Jemal Ali Mahdi,Elad Matot,Gal Malka,Noa Kosower,Michal Rein,Gili Zilberman-Schapira,Lenka Dohnalová,Meirav Pevsner-Fischer,Rony Bikovsky,Zamir Halpern,Eran Elinav,Eran Segal +23 more
TLDR
A machine-learning algorithm is devised that integrates blood parameters, dietary habits, anthropometrics, physical activity, and gut microbiota measured in an 800-person cohort and shows that it accurately predicts personalized postprandial glycemic response to real-life meals, and a blinded randomized controlled dietary intervention based on this algorithm resulted in significantly lower postpr andial responses and consistent alterations to gut microbiota configuration.About:
This article is published in Cell.The article was published on 2015-11-19 and is currently open access. It has received 1748 citations till now. The article focuses on the topics: Postprandial & Glycemic.read more
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Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association
Salim S. Virani,Alvaro Alonso,Emelia J. Benjamin,Márcio Sommer Bittencourt,Clifton W. Callaway,April P. Carson,Alanna M. Chamberlain,Alex R. Chang,Susan Cheng,Francesca N. Delling,Luc Djoussé,Mitchell S.V. Elkind,Jane F. Ferguson,Myriam Fornage,Sadiya S. Khan,Brett M. Kissela,Kristen L. Knutson,Tak W. Kwan,Daniel T. Lackland,Tené T. Lewis,Judith H. Lichtman,Chris T. Longenecker,Matthew Shane Loop,Pamela L. Lutsey,Seth S. Martin,Kunihiro Matsushita,Andrew E. Moran,Michael E. Mussolino,Amanda M. Perak,Wayne D. Rosamond,Gregory A. Roth,Uchechukwu K.A. Sampson,Gary Satou,Emily B. Schroeder,Svati H. Shah,Christina M. Shay,Nicole L. Spartano,Andrew Stokes,David L. Tirschwell,Lisa B. VanWagner,Connie W. Tsao +40 more
TL;DR: This year's edition of the Statistical Update includes data on the monitoring and benefits of cardiovascular health in the population, metrics to assess and monitor healthy diets, an enhanced focus on social determinants of health, a focus on the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors, implementation strategies, and implications of the American Heart Association’s 2020 Impact Goals.
Journal ArticleDOI
Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association.
Salim S. Virani,Alvaro Alonso,Hugo J. Aparicio,Emelia J. Benjamin,Márcio Sommer Bittencourt,Clifton W. Callaway,April P. Carson,Alanna M. Chamberlain,Susan Cheng,Francesca N. Delling,Mitchell S.V. Elkind,Kelly R. Evenson,Jane F. Ferguson,Deepak K. Gupta,Sadiya S. Khan,Brett M. Kissela,Kristen L. Knutson,Chong D. Lee,Tené T. Lewis,Junxiu Liu,Matthew Shane Loop,Pamela L. Lutsey,Jun Ma,Jason Mackey,Seth S. Martin,David B. Matchar,Michael E. Mussolino,Sankar D. Navaneethan,Amanda M. Perak,Gregory A. Roth,Zainab Samad,Gary Satou,Emily B. Schroeder,Svati H. Shah,Christina M. Shay,Andrew Stokes,Lisa B. VanWagner,Nae Yuh Wang,Connie W. Tsao +38 more
TL;DR: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascul...
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High-performance medicine: the convergence of human and artificial intelligence
TL;DR: Over time, marked improvements in accuracy, productivity, and workflow will likely be actualized, but whether that will be used to improve the patient–doctor relationship or facilitate its erosion remains to be seen.
Journal ArticleDOI
The Human Intestinal Microbiome in Health and Disease
Susan V. Lynch,Oluf Pedersen +1 more
TL;DR: The large majority of studies on the role of the microbiome in the pathogenesis of disease are correlative and preclinical; several have influenced clinical practice.
Journal ArticleDOI
Environment dominates over host genetics in shaping human gut microbiota
Daphna Rothschild,Omer Weissbrod,Elad Barkan,Alexander Kurilshikov,Tal Korem,David Zeevi,Paul I. Costea,Anastasia Godneva,Iris N. Kalka,Noam Bar,Smadar Shilo,Dar Lador,Arnau Vich Vila,Niv Zmora,Niv Zmora,Meirav Pevsner-Fischer,David Israeli,Noa Kosower,Gal Malka,Bat Chen Wolf,Tali Avnit-Sagi,Maya Lotan-Pompan,Adina Weinberger,Zamir Halpern,Shai Carmi,Jingyuan Fu,Cisca Wijmenga,Cisca Wijmenga,Alexandra Zhernakova,Eran Elinav,Eran Segal +30 more
TL;DR: Genotype and microbiome data from 1,046 healthy individuals with several distinct ancestral origins who share a relatively common environment are examined, and it is demonstrated that the gut microbiome is not significantly associated with genetic ancestry, and that host genetics have a minor role in determining microbiome composition.
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Scikit-learn: Machine Learning in Python
Fabian Pedregosa,Gaël Varoquaux,Alexandre Gramfort,Vincent Michel,Bertrand Thirion,Olivier Grisel,Mathieu Blondel,Andreas Müller,Joel Nothman,Gilles Louppe,Peter Prettenhofer,Ron Weiss,Vincent Dubourg,Jake Vanderplas,Alexandre Passos,David Cournapeau,Matthieu Brucher,Matthieu Perrot,Edouard Duchesnay +18 more
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