# FY24 SBIR PHASE I TOPIC NO. 459 PROJECT TITLE: AN AUTOMATED SCREENING PLATFORM FOR EARLY IDENTIFICATION OF MALNUTRITION IN CANCER PATIENTS

> **NIH NIH N43** · BIOSENSICS, LLC · 2024 · $400,000

## Abstract

This project aims to develop an automated screening platform for early identification of malnutrition in cancer patients by creating a machine-learning-based model that combines CT imaging input and questionnaire-based tools. The proposed solution will incorporate novel biomedical image segmentation tools based on artificial intelligence to assess body composition from CT scans. Accurate skeletal muscle and adipose tissue segmentation will be used with current questionnaire-based parameters such as BMI changes and food aversion to develop thresholds for detecting malnutrition.

## Key facts

- **NIH application ID:** 11193066
- **Project number:** 75N91024C00094-0-9999-1
- **Recipient organization:** BIOSENSICS, LLC
- **Principal Investigator:** Ashkan Vaziri
- **Activity code:** N43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $400,000
- **Award type:** —
- **Project period:** 2024-09-11 → 2025-09-10

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11193066

## Citation

> US National Institutes of Health, RePORTER application 11193066, FY24 SBIR PHASE I TOPIC NO. 459 PROJECT TITLE: AN AUTOMATED SCREENING PLATFORM FOR EARLY IDENTIFICATION OF MALNUTRITION IN CANCER PATIENTS (75N91024C00094-0-9999-1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/11193066. Licensed CC0.

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