A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Researchers in China have developed a powerful machine learning model that can help determine which patients with nasopharyngeal carcinoma (NPC) are likely to respond well to radiotherapy-a common ...

Every year, the hepatitis C virus affects more than 200 million across the world. Machine learning can drastically reduce ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Background Current risk scores inadequately predict long-term mortality after transcatheter aortic valve replacement (TAVR), ...

"Machine learning model helps identify patients at risk of postpartum depression." ScienceDaily. ScienceDaily, 19 May 2025. <www.sciencedaily.com / releases / 2025 / 05 / 250519131029.htm>.

In predictive toxicology, machine learning models are built from the analysis of databases such as ToxCast, ChEMBL, and PubChem, or data in the public domain and published literature.