Learning health systems turn data into action — rapidly, safely, and continuously — so that innovation truly improves care.
Abstract: Because learning an optimal Bayesian network classifier is an NP-hard problem, learning-improved naive Bayes has attracted much attention from researchers. In this paper, we summarize the ...
Abstract: A novel CLL resonant converter with a semi-bridgeless active rectifier (S-BAR) is analyzed, and its hybrid control strategy is proposed in this paper. This topology is developed by replacing ...
The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...
Roche, in collaboration with KlinRisk, Inc, has received CE-mark for the first AI-based risk stratification tool for assessment of progressive decline in kidney function. This tool will be launched as ...
Wendtner has served on advisory boards for AbbVie, Amgen, Astrazeneca, BeOne Medicines, BIONTech, Cllag-Janssen, F. Hoffmann-La Roche, Genentech, Gilead, GSK ...
Growing up in Ukraine in the wake of the Chernobyl nuclear disaster, Eugene Shenderov was diagnosed with leukemia at an early age. He spent much of his childhood in hospitals, developing a "lifelong ...
Whether fixed-duration acalabrutinib–venetoclax (with or without obinutuzumab) would result in better progression-free survival than chemoimmunotherapy in patients with untreated chronic lymphocytic ...
This report focuses on multiple aspects of predictive policing in the UK, including the systems themselves, the policing outcomes or decisions they influence, and the impact on individuals, groups and ...
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