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 new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Traditional lending relies on collateral and a financial history that productive smallholder farmers may find difficult to ...

Explore how proteomics in biomarker discovery accelerates diagnostic assay development and improves clinical validation.

Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...

Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...

To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...