Discover how machine learning asthma prediction can identify high-risk children early and support personalised care ...

Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...

Machine learning models can predict the risk for developing moderate-to-severe persistent asthma and allergic rhinitis in children with early-life AD.

A machine learning model slightly outperforms a conventional regression model at predicting which children hospitalized for asthma will be readmitted within 180 days.

VivoSim’s NAMkind™ Intestinal Model combined with AI prediction tools yields high-accuracy resultsSAN DIEGO, April 28, 2026 ...

The rapid advances in machine learning (ML) and artificial intelligence (AI) are transforming biology and opening new directions for scientific inquiry.

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 ...

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of agricultural watersheds. To address this need, a team of researchers led by the ...