The study, published in Nature Medicine, shows that future risk of 18 obesity-related diseases can be predicted using 20 ...

Artificial intelligence that cannot explain how it makes decisions—often called "black box" AI—could soon be replaced by more ...

The rapid advances in machine learning (ML) and artificial intelligence (AI) are transforming biology and opening new directions for scientific inquiry.

Can machine learning automatically detect important changes in a material’s Fermi surface from complex and noisy data?

During an April 2 showcase event, Research Track students presented the work they developed over the two quarters. The 12 ...

Jian Jiang's team at the Institute of Chemistry, Chinese Academy of Sciences, recently published an article that focuses on the core bottlenecks of ...

Recent research is advancing seismic hazard modeling through AI-driven soil liquefaction prediction, interpretable machine learning, physics-based simulations, and waveform-based probabilistic ...

Recent studies indicate that combining AI’s analytical capabilities with human expertise can improve the accuracy and effectiveness of student success initiatives. Interpretable machine learning ...

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.

A new review in Science China Life Sciences examines how machine learning and host-microbiome multi-omics can be combined to better understand health and disease. The article outlines the road from ...