New AI-powered computer model predicts disease progression during aging

Medical Xpress December 7, 2021
Marcene Robinson, University at Buffalo

Using artificial intelligence, a team of University at Buffalo researchers has developed a novel system that models the progression of chronic diseases as patients age.

Published in October in the Journal of Pharmacokinetics and Pharmacodynamics, the model assesses metabolic and cardiovascular biomarkers—measurable biological processes such as cholesterol levels, body mass index, glucose and blood pressure—to calculate health status and disease risks across a patient’s lifespan.

The findings are critical due to the increased risk of developing metabolic and cardiovascular diseases with aging, a process that has adverse effects on cellular, psychological and behavioral processes.

“There is an unmet need for scalable approaches that can provide guidance for pharmaceutical care across the lifespan in the presence of aging and...