# Quantitative Analysis Core

> **NIH NIH P30** · UNIVERSITY OF WASHINGTON · 2024 · $203,307

## Abstract

ABSTRACT Core D
Core D will provide computational modeling support, data analytical tools and services, and structured
educational and outreach activities on these topics to investigators in the CTMR. Core D will enable the
transformation of the field of muscle and movement sciences by providing support and access to approaches
from biology, engineering, and computing, that will lead a new understanding of multi-scale muscle biophysics
– from molecules to movement. In doing so, we seek to develop a unified theory of muscle that explains the
underpinnings of muscle development and aging, physiologic structure-function, disease-mediated dysfunction,
and the systemic impact of muscle behavior and plasticity. Core D will provide invaluable multi-scale
computational tools and visualization platforms to be used in research on metabolism (energy supply) and
mechanical (energy demand/use), how these changes in developing and aging muscle, and how they are
altered in skeletal muscle disease. In doing so, the core will develop models that are informative and provide
predictive power that can guide experimental design and suggest targets for development of novel therapeutic
approaches to treat disease. The open-source models and analytical tools developed in this core will
accelerate the pace of translational muscle research. Finally, Core D will offer regular educational activities
through time-bound co-learning and co-creation activities like “hackweeks” and shorter, low barrier to
engagement opportunities like lunch workshops.

## Key facts

- **NIH application ID:** 10841919
- **Project number:** 2P30AR074990-06
- **Recipient organization:** UNIVERSITY OF WASHINGTON
- **Principal Investigator:** Jennifer Michelle Davis
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $203,307
- **Award type:** 2
- **Project period:** 2019-04-05 → 2029-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10841919

## Citation

> US National Institutes of Health, RePORTER application 10841919, Quantitative Analysis Core (2P30AR074990-06). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10841919. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*