Using advanced imaging techniques to improve cancer diagnosis
Official title: Deep Learning of Mass Spectrometry Imaging
Funded at New York University School of Medicine · NIH-10743626 · Data updated 2026-11-12
This study is working on using advanced computer technology to help doctors better understand and identify different types of cancer from tissue samples, which could lead to more accurate diagnoses and personalized treatment for patients.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York University School of Medicine NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | September 7, 2023 |
| Project end | August 31, 2025 |
| Funding year | 2023 |
| Award (this year) | $435,827 |
| NIH project number | 1R21CA284233-01 |
| Project ID | NIH-10743626 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 may benefit from advanced diagnostic techniques.
✕Less likely to help
Patients with non-cancerous conditions or those not undergoing tissue analysis may not receive any benefit from this research.
What this research studies
This research focuses on enhancing the analysis of mass spectrometry imaging (MSI) to better identify and classify cancer types. By utilizing deep learning algorithms, the project aims to process complex, high-dimensional data generated from tissue samples, which includes various metabolites and lipids. The goal is to make this intricate data more accessible for pathologists, allowing for improved discrimination between different cancer subtypes and grades. Patients may benefit from more accurate diagnoses and tailored treatment options as a result of this innovative approach.
Why it matters
Potential benefit: If successful, this research could lead to more precise cancer diagnoses and improved treatment strategies for patients.
How similar studies have gone: Previous research has shown success in applying deep learning to histopathology data, suggesting a promising potential for this novel approach in mass spectrometry imaging.
Where this research is happening
-
New York University School of Medicine
New York, United States Active
Researchers
- Principal investigator: Jones, Drew R — New York University School of Medicine
- Study coordinator: Jones, Drew R
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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.