An AI model predicted cognitive decline in MS with about 90% accuracy using brain scans, clinical data, and demographics.

A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...

Neurologists use millisecond-level M/EEG tracking to prove the human brain and AI language models organize and predict language using parallel processing principles.

Peripheral arterial disease (PAD) affects approximately 236.62 million individuals globally, exposing them to significantly increased risks of major limb events such as death and amputation.

Forbes contributors publish independent expert analyses and insights. Greg Licholai writes and teaches about innovation in healthcare. The latest breakthrough in Nature demonstrates something ...

Previous research using standard social survey data has emphasized a relative lack of power when predicting educational and psychological outcomes. Leveraging a unique longitudinal dataset, we explore ...

The Delphi-2M model seeks to predict a person’s next health event, and when it will happen in the next 20 years. Nan_Got/ Shutterstock Being able to instantly and accurately predict the trajectory of ...

We've been watching temperatures climb, extreme weather events intensify, and ice sheets shrink. Every weather forecast and climate projection relies on incredibly complex computer simulations that ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

A new plasma biomarker clock offers an early glimpse into Alzheimer’s timing, potentially reshaping prevention research and therapeutic trials. Alzheimer’s disease (AD) is a progressive neurocognitive ...

It may feel like the body keeps the score, but the brain is running the show, mispredicting danger long after the threat is ...