Using machine learning to improve diagnosis and treatment of colorectal cancer
Integration of epidemiology, pathology, immunology and outcomes in colorectal cancer
This study is looking at how smart computer technology can help doctors better understand and predict colorectal cancer by examining tumor images, so it can help patients get more personalized treatment based on their unique cancer characteristics.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Beckman Research Institute/city of Hope NIH-funded |
| Lab location | 1 site (Duarte, United States) |
| Project ID | NIH-10912545 on NIH RePORTER |
What this research studies
This research investigates how machine learning can enhance the diagnosis and prognosis of colorectal cancer by analyzing histology images of tumors. By applying advanced algorithms to these images, the study aims to identify important features such as microsatellite instability and immune characteristics that can influence treatment responses. The research involves a diverse population and utilizes a large dataset of clinical specimens to ensure comprehensive results. Patients' clinical, epidemiologic, and genetic data will also be integrated to improve predictive models for colorectal cancer outcomes.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals diagnosed with colorectal cancer, particularly those from diverse racial and ethnic backgrounds.
Not a fit: Patients with non-colorectal cancers or those who do not have access to the required clinical specimens may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and personalized treatment plans for colorectal cancer patients.
How similar studies have performed: Previous research has shown promising results using machine learning for cancer diagnosis, indicating that this approach has the potential for significant advancements in colorectal cancer treatment.
Where this research is happening
Duarte, United States
- Beckman Research Institute/city of Hope — Duarte, United States (Active)
Researchers
- Principal investigator: Gruber, Stephen B — Beckman Research Institute/city of Hope
- Study coordinator: Gruber, Stephen B
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.