A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with ...

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

LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...

This is the largest real-world analysis of mycophenolic acid in pediatric lupus nephritis to date, providing a decision-support system to help balance efficacy and safety.

The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary ...

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 ...

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

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

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

The first act of the current AI boom was defined by prediction. LLMs were trained to predict the next word in a sentence, ...