Personalized digital models to predict AML treatment response
Official title: Prototype System for AML Digital Twins
Funded at Institute for Systems Biology · NIH-11257282 · Data updated 2026-11-12
This project builds computer-based personalized models to help doctors predict which treatments might work best for adults with acute myeloid leukemia.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Institute for Systems Biology NIH-funded |
| Lab location | 1 site (Seattle, United States) |
| Project start | January 1, 2023 |
| Project end | December 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $606,532 |
| NIH project number | 5R01CA270210-04 |
| Project ID | NIH-11257282 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults (21+) diagnosed with acute myeloid leukemia who can provide blood and bone marrow samples and share their clinical records would be ideal candidates.
✕Less likely to help
People without available molecular or clinical data, those unwilling to give samples, or patients with very rare AML subtypes not represented in the model may not benefit.
What this research studies
If I join, the team will create an interactive 'AML Digital Twin' using my clinical information and molecular data from blood and bone marrow to make a virtual version of my leukemia. Doctors could use that virtual model to try different drugs in simulations and see likely treatment responses without risk to me. The system will combine lab, genetic, and clinical records and produce visual predictions I can discuss with my care team. The prototype will be developed at the Institute for Systems Biology and tested with patient samples and existing clinical data.
Why it matters
Potential benefit: If successful, this could guide treatment choices toward options more likely to work for individual AML patients and help avoid ineffective therapies.
How similar studies have gone: Related computational and precision-oncology models have shown early promise, but the AML digital twin approach is largely novel and still experimental.
Where this research is happening
-
Institute for Systems Biology
Seattle, United States Active
Researchers
- Principal investigator: Thorsson, Vesteinn — Institute for Systems Biology
- Study coordinator: Thorsson, Vesteinn
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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.