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 ...

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.

Please select "Emerging Applications of Machine Learning and AI for Predictive Modeling in Precision Medicine". Please be sure to express your interest in the Collection clearly in your cover letter.

Findings from a new study published in Annals of Family Medicine show that a machine learning model accurately predicts ...

Inside the Session What: Predicting the Future using Azure Machine Learning When: Aug. 7, 2025, 9:30 a.m. - 10:45 a.m. Who: Eric D. Boyd, Founder and CEO of responsiveX Why: Learn the fundamentals of ...

AI Accuracy Machine learning models rely on historical data, which can sometimes lead to inaccuracies. If an AI model is trained on outdated or incomplete data, it can result in poor decision-making.