It is a common misperception that electrocardiograms (ECGs) simply contain data about heart activity. However, modern ECGs ...

A machine-learning model based on Transformer architecture, a form of artificial intelligence originally developed for ...

A new study published in Engineering has combined machine learning (ML) and experimental validation to identify dihydromyricetin (DHM), a natural flavonoid, as a potent inhibitor of the TGF-β/ALK5 ...

Machine learning has emerged as a transformative force in the field of neurosurgery, offering innovative tools to predict surgical outcomes with greater ...

While the proof-of-concept technology could revolutionize early dementia detection, experts urge caution regarding implementation timelines.

Background Preparticipation cardiovascular evaluation (PPE) is widely recommended to reduce the risk of sudden cardiac events ...