Being able to instantly and accurately predict the trajectory of a person's health in the years to come has long been seen as the pinnacle of medicine. This kind of information would have a profound ...

Research on rare diseases and atypical health care demographics is often slowed by high interparticipant heterogeneity and overall scarcity of data. Synthetic data (SD) have been proposed as means for ...

A cardiovascular disease (CVD) risk prediction tool developed by Northwestern Medicine scientists may also be effective for identifying which patients would most benefit from statin therapy, according ...

FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...

SAN FRANCISCO (Reuters) -SandboxAQ, an artificial intelligence startup spun out of Alphabet's Google and backed by Nvidia, on Wednesday released a trove of data it hopes will speed up the discovery of ...

NEW YORK--(BUSINESS WIRE)--iPredict™ Stroke and heart attack prediction models provide AI-based automated prediction scores for incident stroke and heart attack (i.e., myocardial infarction (MI)) ...

In a recent IEEE Transactions on Neural Systems and Rehabilitation Engineering study, researchers discuss the development of an automated system using machine learning (ML) algorithms that can ...

SandboxAQ, an artificial intelligence startup backed by Nvidia (NASDAQ:NVDA) and born from Alphabet's (NASDAQ:GOOG, GOOGL)) Google, has released a dataset containing 5.2 million synthetic molecules ...

Genesis’ proprietary foundation model – Pearl – outperforms frontier models, including AlphaFold 3, on key benchmarks that predict utility in real-world drug discovery Pearl’s performance improved ...