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.

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

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

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 ...

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...

A new way to solve data scarcity: Turning qualitative reports into quantitative data with an LLM.

A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

While traditional KPIs like revenue, churn rate and net promoter score still offer useful signals, they don’t show the full picture of what’s happening inside a company.

In every industry, leadership teams are under pressure to deliver consistent growth in unpredictable conditions. Markets ...