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

A study suggests that a single brain MRI can be used to predict a person's rate of aging across their whole body, which ...

Lee, Choe and Kang used public data from the National Health and Nutrition Examination Survey, a government-sponsored survey, covering 2009-18. "We aimed to use machine learning to predict whether ...

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 ...

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, ...

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.