Using math and imaging to improve breast cancer treatment while reducing side effects
Official title: Mathematical modeling and molecular imaging to maximize response while minimizing toxicities from systemic therapies in preclinical models of breast cancer
Funded at University of Alabama at Birmingham · NIH-10992641 · Data updated 2026-11-12
This study is looking at new ways to improve breast cancer treatments by figuring out the best timing and amounts of therapy to help shrink tumors faster while reducing side effects, and it's being tested in models before it can be used for patients like you.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Alabama at Birmingham NIH-funded |
| Lab location | 1 site (Birmingham, United States) |
| Project start | December 1, 2022 |
| Project end | November 30, 2025 |
| Funding year | 2025 |
| Award (this year) | $466,308 |
| NIH project number | 5R01CA276540-03 |
| Project ID | NIH-10992641 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with advanced breast cancer who are undergoing systemic therapies.
✕Less likely to help
Patients with early-stage breast cancer or those not receiving systemic therapies may not benefit from this research.
What this research studies
This research focuses on developing mathematical models and advanced imaging techniques to optimize breast cancer therapies. By analyzing the timing, order, and dosage of treatments, the goal is to enhance tumor control while minimizing harmful side effects associated with systemic therapies. The study aims to identify personalized treatment regimens that can achieve faster tumor response without increasing chemotherapy doses. This approach is being tested in preclinical models to ensure its effectiveness before potential application in patients.
Why it matters
Potential benefit: If successful, this research could lead to more effective breast cancer treatments that significantly reduce side effects for patients.
How similar studies have gone: Other research has shown promise in using mathematical modeling and imaging to improve cancer treatment outcomes, indicating that this approach has potential for success.
Where this research is happening
-
University of Alabama at Birmingham
Birmingham, United States Active
Researchers
- Principal investigator: Sorace, Anna C — University of Alabama at Birmingham
- Study coordinator: Sorace, Anna C
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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.