Using deep learning to analyze cancer treatment effectiveness
Official title: Cancer Emulation Analysis with Deep Neural Network
Funded at Yale University · NIH-10725293 · Data updated 2026-11-12
This study is exploring a new way to understand how well cancer treatments work by using advanced computer technology to analyze real-life medical data, which could help improve treatment options for older adults with cancer.
Quick facts
| Grant type | R03 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | September 19, 2023 |
| Project end | August 31, 2025 |
| Funding year | 2023 |
| Award (this year) | $167,500 |
| NIH project number | 1R03CA276790-01A1 |
| Project ID | NIH-10725293 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are older adults diagnosed with various types of cancer, including non-small cell lung cancer.
✕Less likely to help
Patients with early-stage cancers or those not receiving treatment may not benefit from this research.
What this research studies
This research aims to improve how we evaluate the effectiveness of cancer treatments by using advanced deep neural network techniques. Instead of relying solely on traditional randomized clinical trials, which can be difficult to conduct, the study will utilize large amounts of observational data from electronic medical records and insurance claims. By developing new software that employs deep learning, the researchers hope to create more accurate and interpretable models that can provide insights similar to those obtained from clinical trials. This approach could lead to better understanding and treatment options for various cancers, particularly in older adults.
Why it matters
Potential benefit: If successful, this research could lead to more effective cancer treatments tailored to individual patients, especially among the elderly.
How similar studies have gone: Previous research has shown success in using deep learning for emulation analysis in other complex diseases, indicating a promising approach for cancer treatment evaluation.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Ma, Shuangge — Yale University
- Study coordinator: Ma, Shuangge
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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.