Using machine learning to identify heart disease risk in childhood cancer survivors

Machine Learning-Based Identification of Cardiomyopathy Risk in Childhood Cancer Survivors

NIH-funded research Fred Hutchinson Cancer Center · NIH-10878937

This study is looking at how smart computer programs can help doctors find heart problems earlier in childhood cancer survivors who have had certain treatments, so they can get better care and stay healthier.

Quick facts

Grant typeR21 grant
Study typeNIH-funded research
Funding institutionFred Hutchinson Cancer Center NIH-funded
Lab location1 site (Seattle, United States)
Project IDNIH-10878937 on NIH RePORTER

What this research studies

This research investigates how machine learning can enhance the identification of cardiomyopathy risk in survivors of childhood cancer, particularly those who have undergone treatment with anthracycline chemotherapy and chest radiation. The study aims to improve upon traditional 2D echocardiography methods, which can be limited by variability and sensitivity issues. By leveraging advanced AI techniques, the research seeks to provide more accurate and earlier detection of heart issues, potentially leading to better management and outcomes for these patients.

Who could benefit from this research

Good fit: Ideal candidates for this research are childhood cancer survivors who have received anthracycline chemotherapy or chest radiation and are at risk for cardiomyopathy.

Not a fit: Patients who have not undergone treatment for childhood cancer or those without a history of anthracycline use or chest radiation may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to earlier detection and intervention for heart disease in childhood cancer survivors, improving their long-term health outcomes.

How similar studies have performed: Previous research has shown promise in using machine learning for similar applications in cardiology, indicating potential for success in this novel approach.

Where this research is happening

Seattle, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.