Bayesian modeling to understand recurring heart problems in older adults with cancer
Official title: Bayesian Modeling of Recurrent Cardiovascular Events and Tumor Heterogeneity in Older Adults with Cancer
Funded at University of Nebraska Medical Center · NIH-11353031 · Data updated 2026-11-12
A new statistical approach will help identify and predict repeated cardiovascular problems in older cancer patients treated with immune therapies.
Quick facts
| Grant type | R03 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Nebraska Medical Center NIH-funded |
| Lab location | 1 site (Omaha, United States) |
| Project start | July 1, 2026 |
| Project end | June 30, 2028 |
| Funding year | 2026 |
| Award (this year) | $172,838 |
| NIH project number | 1R03AG101065-01 |
| Project ID | NIH-11353031 on NIH RePORTER |
Who could benefit from this research
✓Could help
Older adults with cancer who are treated with immune checkpoint inhibitors and have cardiovascular risk factors or prior cardiovascular events.
✕Less likely to help
Patients without cancer receiving ICIs or without cardiovascular risk factors may see limited direct benefit.
What this research studies
This project will build advanced Bayesian methods to model multiple cardiovascular events that can occur over time in older adults with cancer treated with immune checkpoint inhibitors. By using high-dimensional cancer data, the team aims to capture tumor heterogeneity so the risk model reflects each patient’s unique disease profile. Researchers will develop software tools to apply these models in clinical settings, helping doctors monitor patients more precisely. The work focuses on improving long-term cardiovascular care for older cancer patients.
Why it matters
Potential benefit: If successful, this work could lead to better prediction and monitoring of repeated heart-related events in older cancer patients, potentially guiding safer treatment choices.
How similar studies have gone: Previous studies show recurrent-event modeling can improve risk prediction, but this project adds tumor-heterogeneity-aware Bayesian methods.
Where this research is happening
-
University of Nebraska Medical Center
Omaha, United States Active
Researchers
- Principal investigator: Im, Yunju — University of Nebraska Medical Center
- Study coordinator: Im, Yunju
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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.