An automated system to identify malnutrition in cancer patients early
Official title: FY24 SBIR PHASE I TOPIC NO. 459 PROJECT TITLE: AN AUTOMATED SCREENING PLATFORM FOR EARLY IDENTIFICATION OF MALNUTRITION IN CANCER PATIENTS
Funded at Biosensics, LLC · NIH-11193066 · Data updated 2026-11-12
This study is working on a smart system that helps find out if cancer patients are not getting enough nutrition by looking at their CT scans and answering some questions, so we can catch any problems early and help them feel better.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Biosensics, LLC NIH-funded |
| Lab location | 1 site (Newton, UNITED STATES) |
| Project start | September 11, 2024 |
| Project end | September 10, 2025 |
| Funding year | 2024 |
| Award (this year) | $400,000 |
| NIH project number | 75N91024C00094-0-9999-1 |
| Project ID | NIH-11193066 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are cancer patients who may be at risk of malnutrition due to their condition or treatment.
✕Less likely to help
Patients who are not currently undergoing cancer treatment or those with stable nutritional status may not benefit from this research.
What this research studies
This research focuses on creating an automated platform that uses machine learning to detect malnutrition in cancer patients. By analyzing CT imaging and combining it with questionnaire data, the project aims to accurately assess body composition, including skeletal muscle and adipose tissue. The system will utilize advanced AI techniques to segment images and identify nutritional deficiencies early, which is crucial for improving patient outcomes.
Why it matters
Potential benefit: If successful, this research could lead to earlier detection and intervention for malnutrition in cancer patients, potentially improving their treatment outcomes and quality of life.
How similar studies have gone: Other research has shown promise in using AI and imaging techniques for health assessments, indicating potential success for this novel approach.
Where this research is happening
-
Biosensics, LLC
Newton, United States Active
Researchers
- Principal investigator: Vaziri, Ashkan — Biosensics, LLC
- Study coordinator: Vaziri, Ashkan
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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.