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

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

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

The power that makes electric vehicles travel farther and smartphones last longer comes from battery materials. Among them, ...

Learn how AI is transforming predictions of drug-induced liver injury and aiding drug development for safer therapeutics.

Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.

Introduction Accurate preoperative assessment of lymph node metastasis (LNM) is a key determinant of treatment selection in early gastric cancer (EGC), particularly when choosing between endoscopic ...