A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

Researchers develop a radiomics-based machine learning model to identify patients with traumatic brain injury at risk ...

Thirty-day mortality of patients with major trauma fell if they received intubation before hospital admission per prediction from a machine learning risk-stratifying model, according to data published ...

How predictions would impact clinical decision-making is another question, expert says ...

WPI researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...