# Cardiovascular Biomechanics and Imaging

> **NIH NIH T32** · UNIVERSITY OF COLORADO DENVER · 2022 · $369,326

## Abstract

Project Summary
The primary goal of our training program in “Cardiovascular Biomechanics and
Imaging” is to continue attracting, training, and graduating highly qualified, multi-
disciplinary scientists in the area of cardiovascular bioengineering at pre- and
post-doctoral levels. The program was created 15 years ago in response to: 1)
the dearth of training opportunities available at the intersection between
cardiovascular medicine and bioengineering at the University of Colorado and
indeed within the Greater Rocky Mountain region; and 2) the strong institutional
commitment to build bioengineering research and training within the University of
Colorado. We believe the first 15 years have produced outstanding outcomes,
with all pre-doctoral (except one) and post-doctoral graduates of the program in
research positions within academia or industry, and many successfully receiving
research grants and trainees of their own. Further, NHLBI T32 funding has been
important in leveraging a large amount of additional funding from the University
of Colorado, which will be used to help support our next cycle of trainees. We
believe the combination of outstanding outcomes, significant and continuing
institutional support, and growing reputation continue to make a compelling
argument to continue this program.

## Key facts

- **NIH application ID:** 10489697
- **Project number:** 5T32HL072738-18
- **Recipient organization:** UNIVERSITY OF COLORADO DENVER
- **Principal Investigator:** ROBIN SHANDAS
- **Activity code:** T32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $369,326
- **Award type:** 5
- **Project period:** 2003-04-01 → 2026-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10489697

## Citation

> US National Institutes of Health, RePORTER application 10489697, Cardiovascular Biomechanics and Imaging (5T32HL072738-18). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/10489697. Licensed CC0.

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