# Collaborative Research: FDT-BioTech: Advancing Alzheimer's Disease Understanding and Treatments through Digital Twin Modeling

> **NSF 01002526DB NSF RESEARCH & RELATED ACTIVIT** · Pennsylvania State Univ University Park (PA) · $675,001

## Abstract

This project develops a new framework for digital twin modeling of Alzheimer’s disease (AD), combining clinical data, biomedical research, and advanced computational methods to support personalized medicine. A digital twin is a computational replica of an individual’s health state, enabling the prediction of disease progression and the evaluation of treatment options tailored to the patient. The project contributes to national efforts in healthcare innovation by addressing the urgent need for a better understanding, prediction, and treatment of Alzheimer’s disease, which affects millions of Americans. This work also advances the broader field of personalized medicine by demonstrating how digital twin tools, powered by large language models, machine learning, and causal inference, can accelerate discovery and improve health outcomes. In addition, the project supports interdisciplinary collaboration across artificial intelligence, mathematics, and medicine, while offering new training opportunities for students in data science, modeling, and biomedical research.

This project builds a unified modeling framework for population-based and personalized digital twins of AD. The approach uses large language models (LLMs) to extract causal networks of AD biomarkers from scientific literature and combines this with clinical data to generate personalized predictions. Conformal prediction techniques are applied to quantify uncertainty in model outputs, and optimization under limited da

## Key facts

- **NSF award ID:** 2533995
- **Awardee organization:** Pennsylvania State Univ University Park (PA)
- **SAM.gov UEI:** NPM2J7MSCF61
- **PI:** Wenrui Hao
- **Primary program:** 01002526DB NSF RESEARCH & RELATED ACTIVIT
- **All programs:** INTERDISCIPLINARY PROPOSALS, Biotechnology, Artificial Intelligence (AI), Software Institutes, Machine Learning Theory, STATISTICS
- **Estimated total:** $675,001
- **Funds obligated:** $675,001
- **Transaction type:** Standard Grant
- **Period:** 09/01/2025 → 08/31/2028

## Primary source

NSF Award Search: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2533995

## Citation

> US National Science Foundation, Award 2533995, Collaborative Research: FDT-BioTech: Advancing Alzheimer's Disease Understanding and Treatments through Digital Twin Modeling. Retrieved via AI Analytics 2026-06-07 from https://api.ai-analytics.org/grant/nsf/2533995. Licensed CC0.

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