Researchers develop a novel AI that handles real-world, incomplete data to predict the best conditions for removing antibiotics from water using biochar The investigators compiled a database of 295 ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Machine-learning iMAP coaching track achieves a 55% depression remission rate by personalizing lifestyle targets.

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...

Machine learning is changing the front end of drug discovery, where researchers decide which targets to pursue and which molecules deserve costly laboratory work. Its deeper test lies further ...