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

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

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to ...

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

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 ...

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

Health care spending represents nearly $5 trillion of the United States economy, making it a prime target for scammers.

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

Overview: NVIDIA’s H100 and A100 dominate large-scale AI training with unmatched tensor performance and massive VRAM capacity ...