Nature

Context matters in machine learning based disease prediction with insights from diverse clinical and symptom data

21 May 2026 Editor's Note: The Editorial team is currently investigating questions raised about the data presented in the article. We will update readers once we have further information and all ...
EurekAlert!

Mount Sinai researchers develop machine learning model to predict how CPAP affects cardiovascular disease risk in patients with obstructive sleep apnea

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in millions of patients with obstructive sleep apnea, a serious sleep disorder ...
The American Journal of Managed Care

Machine Learning–Based Tools Predict MS Progression

Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, extending the prior DAAE framework beyond static baseline risk. Registry ...
Nature

Machine learning prediction of discharge destination in patients with Parkinson’s disease; a nationwide cohort study

Risk stratification during hospitalization may support real-world discharge planning. We developed and validated machine learning models and an interpretable risk score to predict discharge ...
News Medical

Using Artificial Intelligence to Predict Chronic Disease Through Diet and Multi-Omics Data

Artificial intelligence (AI) refers to computer systems designed to perform tasks that require human intelligence, while machine learning (ML) is used to learn patterns from data and subsequently ...
News Medical

Machine learning predicts who will decline faster in Alzheimer’s disease using routine clinic data

In a recent study published in the journal Communications Medicine, a group of researchers developed and validated scalable machine learning models that predict 12-month Mini-Mental State Examination ...