C&EN

Machine learning helps density functional theory model molecules accurately

Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...
Healio

Machine learning model predicts urgent care visits during lung cancer treatment

Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...

Machine learning sharpens earthquake risk assessment maps for Tokyo

Tokyo, one of the world's most densely populated megacities, sits on a highly active seismic zone where the threat of major ...

Machine learning can help mental health patients get better outcomes, research shows

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that ...
RMD Open

Systemic lupus erythematosus damage risk index (SLE-DRI): a simple machine learning-based tool for identifying patients at risk for early organ damage

Objective Organ damage is a key determinant of poor prognosis and increased mortality in systemic lupus erythematosus (SLE).
Targeted Oncology

Machine Learning Model May Optimize Treatment Selection and Survival in HCC

A machine learning model enhances treatment decisions for hepatocellular carcinoma, optimizing survival outcomes through personalized risk stratification.
EurekAlert!

Can a hybrid AI-physics model address the challenges of typhoon forecasting? New study shows significant accuracy gains

A research team has studied the development of the Shanghai Typhoon Model from a traditional physics-based regional model ...