Prediction-powered inference integrates a small gold-standard dataset with a large auxiliary dataset informed by machine ...

NOTE. These are the baseline variables determined at treatment completion and included in the analysis. Abbreviations: CIN, cervical intraepithelial neoplasia; COPD, chronic obstructive pulmonary ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

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

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 ...

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...