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 ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Machine learning models may help identify risk for asthma among children with atopic dermatitis in early life.

IPDsim: An interpretable model to assess individual clinical antagonism in combination therapies for cancers. Model performance across development and validation cohorts.

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 ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...

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 ...