Developing methods to predict how patients will respond to cancer treatment
Generalizable biomedical informatics strategies for predictive modeling of treatment response
This study is working on a new way for doctors to better understand how well prostate cancer patients might respond to different treatments before they start, helping to tailor therapies to each person and improve their chances of success.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Rutgers Biomedical and Health Sciences NIH-funded |
| Lab location | 1 site (Newark, UNITED STATES) |
| Project ID | NIH-10693078 on NIH RePORTER |
What this research studies
This research aims to create a scalable and open-source method that helps doctors predict how well patients will respond to cancer therapies before treatment begins. By analyzing patient molecular profiles, the study combines advanced techniques like network analysis and machine learning to identify markers that indicate treatment resistance. The goal is to improve patient outcomes by personalizing treatment plans and reducing the likelihood of ineffective therapies. This innovative approach focuses on prostate cancer and aims to enhance clinical decision-making.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients diagnosed with prostate cancer who are about to begin therapy.
Not a fit: Patients with cancers other than prostate cancer or those who are not starting a new treatment may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective cancer treatments, improving survival rates and quality of life for patients.
How similar studies have performed: Other research has shown promise in using bioinformatics and predictive modeling to improve treatment outcomes, indicating that this approach has potential for success.
Where this research is happening
Newark, UNITED STATES
- Rutgers Biomedical and Health Sciences — Newark, United States (Active)
Researchers
- Principal investigator: Mitrofanova, Antonina — Rutgers Biomedical and Health Sciences
- Study coordinator: Mitrofanova, Antonina
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 below.