Using AI to Improve Colorectal Cancer Prognosis
An ensemble deep learning model for tumor bud detection and risk stratification in colorectal carcinoma.
['FUNDING_R01'] · OHIO STATE UNIVERSITY · NIH-11128528
This project is creating a smart computer system to find tiny groups of cancer cells in colon tissue, helping doctors better understand a patient's colorectal cancer.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | OHIO STATE UNIVERSITY (nih funded) |
| Locations | 1 site (Columbus, UNITED STATES) |
| Trial ID | NIH-11128528 on ClinicalTrials.gov |
What this research studies
Colorectal cancer is a serious illness, and doctors are always looking for better ways to predict how it might progress. One important clue is called "tumor budding," which refers to small clusters of cancer cells that can indicate a more aggressive form of the disease. Currently, finding these tiny cell groups can be challenging and inconsistent for pathologists. This project aims to develop an advanced computer system that uses artificial intelligence to accurately and consistently identify tumor buds in tissue samples. By standardizing this process, the system will help doctors make more informed decisions about treatment and patient care.
Who could benefit from this research
Good fit: This research could ultimately benefit patients diagnosed with colorectal cancer by offering a more precise way to understand their disease.
Not a fit: Patients without colorectal cancer or those whose cancer has already been fully characterized by current methods may not directly benefit from this specific research.
Why it matters
Potential benefit: If successful, this technology could provide more accurate and consistent information about colorectal cancer, leading to better treatment plans and improved patient outcomes.
How similar studies have performed: While the concept of using AI for pathology is growing, this specific approach to standardize tumor bud detection and correlate it with multiple patient outcomes is a novel and important step.
Where this research is happening
Columbus, UNITED STATES
- OHIO STATE UNIVERSITY — Columbus, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: CHEN, WEI — OHIO STATE UNIVERSITY
- Study coordinator: CHEN, WEI
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.
Conditions: American Cancer Society, Breast Cancer, Cancer Cause, Cancer Etiology, Cancers