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

AI-powered systems have swept through business, surfing a rising wave of occasionally justified hype. When they're good, they're really good—take, for example, a neural net designed to help Japanese ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...