Machine learning model can identify likely non-responders to exercise-based cardiac rehabilitation

Exercise training is a cornerstone of cardiac rehabilitation (CR) for patients with coronary artery disease (CAD), and current guidelines rate it as a top-tier recommendation for reducing the risk of future cardiovascular events. Yet a substantial share of patients, often estimated at one in five or more, show little or no measurable improvement in their exercise capacity despite completing a full rehabilitation program. Identifying these "non-responders" before training begins could allow clinicians to adjust treatment plans early, rather than discovering the lack of benefit only after weeks of therapy have passed. https://www.news-medical.net/news/20260821/Machine-learning-model-can-identify-likely-non-responders-to-exercise-based-cardiac-rehabilitation.aspx?utm_source=news_medical_newsletter&utm_medium=email&utm_campaign=medtech_newsletter_24_august_2026