Pancreatic cancer data and statistics hub
Core C - Integrated Quantitative Science (IQS)
This project builds tools and expert statistical support to help doctors and researchers find better, more personalized treatments for people with pancreatic cancer.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Univ of North Carolina Chapel Hill NIH-funded |
| Lab location | 1 site (Chapel Hill, United States) |
| Project ID | NIH-11196756 on NIH RePORTER |
What this research studies
As a patient, this UNC team organizes clinical and tumor-genetic information and applies modern statistics and machine learning to learn which treatments may work best for different people with pancreatic cancer. They combine clinical records, lab results, and multiple types of genomic data to discover biomarkers and patient subtypes. The Core helps design smarter clinical trials that can test different treatment sequences tailored to a patient's profile. They also manage data securely and perform complex analyses so researchers can turn findings into improved care.
Who could benefit from this research
Good fit: People with pancreatic cancer who receive care at UNC or who enroll in the UNC Pancreatic Cancer SPORE studies (including future clinical trials) would be the most direct candidates.
Not a fit: People without pancreatic cancer or patients not enrolled in UNC-affiliated SPORE projects are unlikely to see direct benefits from this core's work.
Why it matters
Potential benefit: If successful, this work could lead to more personalized treatment plans and smarter clinical trials that improve outcomes for people with pancreatic cancer.
How similar studies have performed: Biostatistics and data cores have previously supported impactful cancer research, but using machine learning to choose treatment sequences for pancreatic cancer is relatively new.
Where this research is happening
Chapel Hill, United States
- Univ of North Carolina Chapel Hill — Chapel Hill, United States (Active)
Researchers
- Principal investigator: Kosorok, Michael R — Univ of North Carolina Chapel Hill
- Study coordinator: Kosorok, Michael R
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.