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 ...

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

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

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

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 ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

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