Using machine learning to identify heart disease risk in childhood cancer survivors
Official title: Machine Learning-Based Identification of Cardiomyopathy Risk in Childhood Cancer Survivors
Funded at Fred Hutchinson Cancer Center · NIH-10878937 · Data updated 2026-11-12
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 type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Fred Hutchinson Cancer Center NIH-funded |
| Lab location | 1 site (Seattle, United States) |
| Project start | July 1, 2023 |
| Project end | June 30, 2025 |
| Funding year | 2024 |
| Award (this year) | $214,010 |
| NIH project number | 5R21CA277746-02 |
| Project ID | NIH-10878937 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are childhood cancer survivors who have received anthracycline chemotherapy or chest radiation and are at risk for cardiomyopathy.
✕Less likely to help
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.
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.
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 gone: 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
-
Fred Hutchinson Cancer Center
Seattle, United States Active
Researchers
- Principal investigator: Chow, Eric Jessen — Fred Hutchinson Cancer Center
- Study coordinator: Chow, Eric Jessen
Related research
Other NIH-funded projects on the same topics.
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Using ECG and AI to find childhood cancer survivors at risk for late cardiomyopathy
This project uses routine ECG tracings plus artificial intelligence to spot childhood cancer survivors who may develop heart muscle disease years later.
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Identifying childhood cancer survivors at risk for heart problems using AI and ECG data.
This study is working on a smart computer program that looks at heart test results to help find childhood cancer survivors who might be at risk for heart problems later on, so they can get the care they need to stay healthy.
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Strategies to Find and Reconnect Adolescent and Young Adult Cancer Survivors to Adult Follow-Up Care
A nationwide effort to locate and re-engage young people who survived childhood cancer so they can keep receiving important follow-up care.
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STRENGTH: Time-restricted eating to reduce cardiometabolic risk in childhood cancer survivors
A program tests whether time-restricted eating can lower heart and diabetes risks for adults who survived childhood cancer.
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Family-centered communication help for young adult survivors of childhood cancer
A K08 grant to develop and pilot a tailored family-centered communication program to help young adult survivors of childhood cancer manage their ongoing care.
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Digital self-management and peer mentoring to help childhood cancer survivors transition to adult care
A digital, mentor-supported program helps young survivors manage their health as they move from pediatric to adult follow-up care.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.