A new AI blood test may forecast major cardiovascular disease risks years before clinical onset by reading real-time ...

AI-driven genomic analysis could help researchers identify existing drugs that may be repurposed for subtype-specific breast ...

More than 21% of U.S. adults experience depression, greatly impacting their quality of life. Many people with ...

Glucose tracking is moving beyond diabetes care as CGMs, AI platforms, and wearable sensors reshape personalized health data ...

Machine-learning iMAP coaching track achieves a 55% depression remission rate by personalizing lifestyle targets.

A new AI-driven framework enables highly accurate prediction of RNA splicing and isoform usage for therapeutic applications.

Machine learning models could help clinicians estimate individualized risk for major complications among women undergoing ...

Food insecurity identification modeling for Medicare can establish a reliable method of prioritizing members at risk of food ...

When artificial intelligence meets cryptocurrency forecasting, reality checks arrive faster than blockchain confirmations. Here’s the awkward truth about AI crypto predictions: Reports claimed Claude ...

Guest column: For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency is the same. Carissa Véliz is an associate professor at the ...

aNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark bDepartment of Public Health, Faculty of Health and Medical ...

AI models have been helping with predictions for a while now. Doctors, weather forecasters and stock brokers all use AI to try to peek into the future. Inside the Leibniz Supercomputing Centre in ...