Using machine learning to improve treatment decisions for colorectal cancer patients after surgery
Multi-modal machine learning to guide adjuvant therapy in surgically resectable colorectal cancer
['FUNDING_R01'] · STANFORD UNIVERSITY · NIH-11066505
This study is looking to improve treatment decisions for patients with colorectal cancer who have had surgery by using smart computer technology to analyze their medical information and images, helping doctors find out who might need extra therapy to prevent the cancer from coming back.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | STANFORD UNIVERSITY (nih funded) |
| Locations | 1 site (STANFORD, UNITED STATES) |
| Trial ID | NIH-11066505 on ClinicalTrials.gov |
What this research studies
This research aims to enhance the decision-making process for adjuvant therapy in patients with surgically resectable colorectal cancer by utilizing advanced machine learning techniques. The study will create a comprehensive dataset that includes pathology images, radiologic scans, and electronic medical records to develop predictive models. By integrating these diverse data sources, the research seeks to identify patients at higher risk of cancer recurrence who would benefit most from additional treatment. Patients will be evaluated based on their unique clinical profiles, allowing for more personalized treatment plans.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with Stage I-III colorectal cancer who have undergone surgical resection.
Not a fit: Patients with metastatic colorectal cancer or those who have not undergone surgery may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate treatment recommendations, potentially improving survival rates for colorectal cancer patients.
How similar studies have performed: Previous research has shown promise in using machine learning for cancer treatment planning, indicating that this approach could yield significant advancements.
Where this research is happening
STANFORD, UNITED STATES
- STANFORD UNIVERSITY — STANFORD, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: SHEN, JEANNE — STANFORD UNIVERSITY
- Study coordinator: SHEN, JEANNE
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: anti-cancer research