A machine learning model based on electronic health record data can provide updated predictions of preeclampsia risk, ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, enabling researchers to process large volumes of environmental data and satellite ...

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 ...

Overview Artificial Intelligence (AI) is a technology that allows machines to perform tasks that normally require human ...

A machine learning model for prediction of preeclampsia risk using routinely collected data was feasible among pregnancies in ...

Discover how a new AI system is revolutionizing energy management by merging machine learning and mathematical programming. This innovative approach not only boosts prediction accuracy but also ...

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...

Researchers developed an AI model that analyzes health records to predict preeclampsia risk late in pregnancy, helping doctors monitor mothers and prevent complications.

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

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 ...

Tevogen.AI reports improved PredicTcell™ beta accuracy, expanding its peptide database and AI platform to accelerate drug discovery and future pharma partnerships. WARREN, N.J., March 13, 2026 (GLOBE ...