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.

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 ...

Researchers in China used machine learning to create diagnostic and prognostic models to aid in identifying idiopathic ...

A research team from Southern Medical University has developed a machine learning-based gene model that predicts whether ...

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

Dimitrios Fafalis (PI) Assistant Teaching Professor Department of Mechanical Engineering and Mechanics Drexel University Sarmad Khan Manufacturing Fellow Drexel University Eastern Controls, Inc. & ...