A digital platform using AI to improve cancer diagnosis and treatment decisions.
An AI-enabled Digital Pathology Platform for Multi-Cancer Diagnosis, Prognosis and Prediction of Therapeutic Benefit
This study is working on a smart computer program that helps doctors better understand cancer by looking at old tissue samples, so they can figure out which patients really need strong treatments, especially in places where expensive tests aren't available.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Emory University NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project ID | NIH-10911112 on NIH RePORTER |
What this research studies
This research focuses on developing an AI-enabled digital pathology platform that aims to enhance the diagnosis and prognosis of multiple cancers. By utilizing advanced computer vision and pattern recognition techniques, the project seeks to identify which cancer patients can benefit from reduced treatment intensity, particularly in low- and middle-income countries where access to expensive tests is limited. The approach leverages existing pathology slides to extract critical information about tumor behavior without the need for costly multi-gene expression tests. The goal is to improve patient outcomes by ensuring that only those who truly need aggressive treatment receive it.
Who could benefit from this research
Good fit: Ideal candidates for this research include cancer patients, particularly those with early-stage breast, prostate, head and neck, and lung cancers, who may benefit from therapy de-intensification.
Not a fit: Patients with advanced-stage cancers or those who require immediate aggressive treatment may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more personalized cancer treatment plans, reducing unnecessary side effects and improving quality of life for patients.
How similar studies have performed: Previous research has shown promise in using digital pathology and AI for cancer prognosis, indicating that this approach has the potential for significant impact.
Where this research is happening
Atlanta, United States
- Emory University — Atlanta, United States (Active)
Researchers
- Principal investigator: Madabhushi, Anant — Emory University
- Study coordinator: Madabhushi, Anant
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.