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 complication that can occur late in pregnancy. Preeclampsia is a sudden ...

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes 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, ...

WPI researchers use machine learning and brain scans to identify age- and sex-specific anatomical patterns that predict ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

How predictions would impact clinical decision-making is another question, expert says ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...