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 ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...

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.

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

AI in genomics offers transformative opportunities by enhancing drug discovery and personalized medicine through efficient genomic data analysis. Drivers include the surge in genomic data, the focus ...

Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.

Priya Hays, Hays Documentation Specialists, LLC, discusses biomarker discovery through artificial intelligence and personalized medicine.

The adoption of machine learning approaches in systematic reviews is fundamentally transforming evidence-based medicine. Traditionally, systematic reviews have involved painstaking manual screening of ...

Researchers at Rice University and Baylor College of Medicine have developed a method that pairs engineered nanoparticles with machine learning algorithms to detect trace toxic pollutants in complex ...