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.

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 use machine learning and brain scans to identify age- and sex-specific anatomical patterns that predict ...

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

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...