# Collaborative Research: FDT-BioTech: NOURISH: Nutritional Optimization Using Real-time Integrated Sensors and Health Digital Twins

> **NSF 01002526DB NSF RESEARCH & RELATED ACTIVIT** · Purdue University (IN) · $602,800

## Abstract

Metabolic diseases, such as diabetes, affect millions of people worldwide, profoundly impacting health, quality of life, and healthcare costs. However, traditional approaches to dietary management rely on generalized guidelines and intermittent blood tests, which limit their effectiveness in capturing the real-time metabolic changes necessary for personalized care. To address this, researchers at Purdue University and Oregon Health & Science University (OHSU) are developing NOURISH, an innovative digital twin technology that continuously tracks multiple metabolic indicators using wearable biosensors. By pairing these real-time measurements with advanced computational models, NOURISH simulates whole-body metabolism in individual patients and provides tailored dietary recommendations. The initial validation of these sensors will focus on healthy volunteers with controlled metabolic challenges, providing foundational data necessary for future clinical applications. NOURISH aims to significantly improve personalized dietary interventions and metabolic health outcomes. The project will also provide interdisciplinary training opportunities in advanced technologies and prepare a diverse and skilled workforce to meet critical national needs for healthcare innovation.

The NOURISH project directly aligns with the NSF’s Foundations for Digital Twins (FDT-BioTech) program by developing advanced biosensors and integrating them into a physics-informed whole-body metabolism digital twin 

## Key facts

- **NSF award ID:** 2533878
- **Awardee organization:** Purdue University (IN)
- **SAM.gov UEI:** YRXVL4JYCEF5
- **PI:** Wenzhuo Wu
- **Primary program:** 01002526DB NSF RESEARCH & RELATED ACTIVIT
- **All programs:** Artificial Intelligence (AI), Machine Learning Theory, Biotechnology
- **Estimated total:** $602,800
- **Funds obligated:** $602,800
- **Transaction type:** Standard Grant
- **Period:** 09/15/2025 → 08/31/2028

## Primary source

NSF Award Search: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2533878

## Citation

> US National Science Foundation, Award 2533878, Collaborative Research: FDT-BioTech: NOURISH: Nutritional Optimization Using Real-time Integrated Sensors and Health Digital Twins. Retrieved via AI Analytics 2026-06-08 from https://api.ai-analytics.org/grant/nsf/2533878. Licensed CC0.

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