Using AI to understand how changes in cancer cells affect their behavior
Official title: AI-Powered Uncovering of Mechanisms in Cancer Through Causal Discovery Analysis and Generative Modeling of Heterogeneous Data
Funded at Broad Institute, INC. · NIH-10770495 · Data updated 2026-11-12
This study is looking at how changes in cancer cell genes affect their behavior, using smart computer tools to help find better, personalized treatments for patients.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Broad Institute, INC. NIH-funded |
| Lab location | 1 site (Cambridge, United States) |
| Project start | February 1, 2023 |
| Project end | January 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $138,349 |
| NIH project number | 5K99CA277583-02 |
| Project ID | NIH-10770495 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with various types of cancer who are interested in contributing to the understanding of their disease at a genetic level.
✕Less likely to help
Patients with non-cancerous conditions or those who are not interested in genetic research may not receive any benefit from this research.
What this research studies
This research focuses on developing advanced computational tools to analyze how genetic changes in cancer cells influence their characteristics and behavior. By utilizing artificial intelligence and machine learning techniques, the project aims to uncover the complex interactions between various genetic alterations and their phenotypic outcomes. Patients may benefit from this research as it seeks to provide insights that could lead to more effective cancer treatments tailored to individual genetic profiles. The research will involve collaboration with top-level physicians and scientists, leveraging extensive data from next-generation sequencing to explore the effects of different perturbations on cancer cells.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective cancer treatments based on a deeper understanding of genetic changes in tumors.
How similar studies have gone: Other research has shown success in using AI and computational methods to analyze cancer data, indicating that this approach has the potential for significant breakthroughs.
Where this research is happening
-
Broad Institute, INC.
Cambridge, United States Active
Researchers
- Principal investigator: Stojanov, Petar — Broad Institute, INC.
- Study coordinator: Stojanov, Petar
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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.