Using AI to personalize breast cancer treatments
Official title: Ethically-focused multimodal AI models for precision treatments of breast cancer
Funded at University of Pittsburgh at Pittsburgh · NIH-11090597 · Data updated 2026-11-12
This study is working on smart computer programs that look at different kinds of information about breast cancer patients, like medical records and test results, to help doctors create personalized treatment plans that are just right for each patient.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pittsburgh at Pittsburgh NIH-funded |
| Lab location | 1 site (Pittsburgh, United States) |
| Project start | March 15, 2025 |
| Project end | March 14, 2026 |
| Funding year | 2025 |
| Award (this year) | $1,654,951 |
| NIH project number | 1OT2OD037972-01 |
| Project ID | NIH-11090597 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with breast cancer who are seeking personalized treatment options.
✕Less likely to help
Patients with breast cancer who are not interested in personalized treatment approaches or those with advanced metastatic disease may not benefit from this research.
What this research studies
This research aims to develop advanced artificial intelligence models that analyze various types of patient data, including clinical information, medical images, and genetic tests, to create personalized treatment plans for breast cancer patients. By integrating diverse data sources, the project seeks to improve the accuracy of treatment decisions, ensuring that patients receive the most effective therapies tailored to their individual needs. The research involves collaboration among multiple leading cancer centers to gather and evaluate patient data, enhancing the model's predictive capabilities.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized treatment options for breast cancer patients, potentially improving outcomes and reducing unnecessary side effects.
How similar studies have gone: Previous research has shown promising results in using AI for personalized medicine, indicating that this approach has the potential for significant advancements in breast cancer treatment.
Where this research is happening
-
University of Pittsburgh at Pittsburgh
Pittsburgh, United States Active
Researchers
- Principal investigator: Wu, Shandong — University of Pittsburgh at Pittsburgh
- Study coordinator: Wu, Shandong
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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.