A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

The earliest medicine known to man was plants with active compounds that help alleviate pain, reduce fever, fight diseases, etc. To this day, pharmacobotany is a very important field of modern ...

A new study from the Icahn School of Medicine at Mount Sinai shows that social determinants of health—including environmental conditions, health behaviors, access to resources and social ...

Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.

Studies of genetics conducted in yeast cells, human neurons, mice or other model systems often reveal networks of genes that could contribute to complex diseases, such as breast cancer, type 2 ...

AI is rapidly reshaping biomedical research, but practitioners agree that AI’s success depends on more than advanced algorithms.

AI is helping scientists search for new medicines much faster than before. But can it really create the right drug formula on ...

I have this idea of a communal brain.” David Baker, PhD, told me as I sat in his office at the University of Washington (UW) ...

Meta CEO Mark Zuckerberg has directed staff to build a prediction markets platform, a source confirmed to CNBC. The New York Times was first to report the app's development. Stocks of sports gambling ...