A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN ...
Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
In A Nutshell Researchers used a machine learning model to rank all 50 U.S. states and Washington, D.C. by socioeconomic vulnerability to flu-like illness, finding wide regional variation in risk.
Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...
Predictive risk scores created using administrative claims and publicly available social determinants of health data strongly ...
Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform diagnostic accuracy, clinical decision-making, ...
A powerful new real-world data platform could transform how scientists predict and understand Alzheimer's disease and ...
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Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational ...
Medical imaging is a process of visualizing the tissues, organs and structure of the human body to diagnose, monitor, and treat medical conditions. It plays ...