Hartford HealthCare and MIT co-developed H2O, an analytics platform using machine learning to optimize hospital operational ...

Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...

Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Artificial intelligence/Machine Learning-driven modeling reduces time-to-market for faster Design Technology Co-Optimization ...