Showing results (551-560 of 759) with videos related to

Sort By:
Pageof 76
Plos One|August 14, 2020
Clinical academic research in the time of Corona: A simulation study in England and a call for actionAmitava Banerjee, Michail Katsoulis, Alvina G Lai, et al.
The Lancet. Digital Health|March 22, 2024
Foresight-a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling studyZeljko Kraljevic, Dan Bean, Anthony Shek, et al.
BMC Medicine|May 14, 2026
Beyond data and technology: the need for new thinking to enable the era of precision preventionMaria Tsakiroglou, Pradeep Harish, Harry Hemingway, et al.
Nature Communications|January 10, 2025
Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threatsJakob Steinfeldt, Benjamin Wild, Thore Buergel, et al.
Plos Medicine|June 18, 2014
Red blood cell transfusion and mortality in trauma patients: risk-stratified analysis of an observational studyPablo Perel, Tim Clayton, Doug G Altman, et al.
Critical Pathways in Cardiology|June 24, 2015
Agreement Between Cardiovascular Disease Risk Scores in Resource-Limited Settings: Evidence from 5 Peruvian SitesJuan Carlos Bazo-Alvarez, Renato Quispe, Frank Peralta, et al.
The Lancet. Global Health|July 24, 2019
Socioeconomic determinants of leprosy new case detection in the 100 Million Brazilian Cohort: a population-based linkage studyJoilda Silva Nery, Anna Ramond, Julia Moreira Pescarini, et al.
Scientific Reports|March 20, 2020
Epigenome-wide association study for perceived discrimination among sub-Saharan African migrants in Europe - the RODAM studyLoes C van der Laan, Karlijn A C Meeks, Felix P Chilunga, et al.
Scientific Reports|July 4, 2023
Subgroups of adult-onset diabetes: a data-driven cluster analysis in a Ghanaian populationIna Danquah, Isabel Mank, Christiane S Hampe, et al.
The Lancet. Digital Health|May 26, 2023
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation studyAmitava Banerjee, Ashkan Dashtban, Suliang Chen, et al.
Pageof 76