A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...
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 ...
A machine learning model for prediction of preeclampsia risk using routinely collected data was feasible among pregnancies in ...
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, ...
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...
WPI researchers use machine learning and brain scans to identify age- and sex-specific anatomical patterns that predict ...
Radiomics extracts quantitative data from medical images, but its role in predicting deterioration after traumatic brain ...
Biochar is widely promoted as a climate friendly soil amendment that can store carbon and improve crop growth. Yet scientists have long debated whether it always benefits soil ecosystems. A new study ...