"Novel machine learning model can predict material failure before it happens." ScienceDaily. ScienceDaily, 16 April 2025. <www.sciencedaily.com / releases / 2025 / 04 / 250416135453.htm>.

Washington State University. "Machine learning model to predict virus reservoirs." ScienceDaily. ScienceDaily, 31 March 2025. <www.sciencedaily.com / releases / 2025 / 03 / 250331122123.htm>.

A research team used flowering data from 169 rice genotypes—each with over 700,000 SNP markers—across multiple environments ...

To build the model, the team used data collected from 374 adults 19 to 82 years of age. The data included participant demographics, such as age, BMI, blood pressure and physical activity levels ...

With this proof-of-concept, we integrated RWD into predictive modeling using ML techniques to predict clinical outcomes and explore their potential implications for clinical decision making. The ...

For the five-year predictions, the Random Forest model, which incorporated clinicodemographic data, including age, achieved the highest accuracy of 78% with an AUC of 0.85.

Recently, ML has emerged as a viable method to harness large volumes of health care data and predict disease risk across a broad swath of clinical domains. 16 - 19 Yet, to our knowledge, to date, ...

Metabolite data and AI combine to redefine how we measure aging and predict health spans. Study: Metabolomic age (MileAge) predicts health and life span: A comparison of multiple machine learning ...