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.

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

New Solera Precision Insights Suite Improving the Accuracy of Predictive Modeling in HealthcarePHOENIX, July 22, 2025 (GLOBE NEWSWIRE) -- Solera Health, a premier digital health technology platform ...

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 ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

Predictive analysis in cricket uses data analytics, machine learning, and player statistics to accurately predict match outcomes and explores innovations in this process.