A machine learning model can use patient-reported data and remote therapeutic monitoring to accurately assess low disease ...

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

In-context learning has the potential to revolutionize how machines acquire knowledge—enabling them to adapt, reason, and ...

A machine learning model may be a valid method of determining the risk for recurrence of MS among individuals who discontinue ...

Poor data standards across government hamper scaling, says Parliament spending watchdog The UK government's Department for ...

Creative experience might enhance brain health, which could slow down the brain's aging.

The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.

Social determinants of health (SDoH) are independent risk factors for asthma, according to a study published online Oct. 24 ...

When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...