# Administrative Oversight

> **NIH NIH P2C** · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 2020 · $98,977

## Abstract

DIDACTIC RESOURCES: ABSTRACT 
 While there are many important meetings on the topic of stem cell biology and regenerative medicine, 
these meetings are rarely attended by those in the rehabilitation field. Similarly, few regenerative biologists are 
exposed to protocols and methodologies commonly employed in the clinic by rehabilitation professionals, 
protocols which can serve as potent stimuli to drive functional tissue restoration. Therefore, there is a need for 
an established platform by which individuals from the fields of rehabilitative and regenerative medicine may 
interact such that, as technologies are developed and as understanding of regenerative biology progresses, the 
transition to the clinic may be smooth and efficient. 
 To achieve AR3T 2.0’s didactic mission, we will: 1) expand our archive of webinars that are a part of the 
 series and initiate a quarterly live webinar to further improve community engagement and interaction; 
2) increase access to the Annual Symposium on Regenerative Rehabilitation by launching a forum for remote 
viewing and participation; and 3) foster the participation of rehabilitation specialists at advanced training 
courses around the country through stipends that support participation by rehabilitation trainees, fellows and 
junior investigators.

## Key facts

- **NIH application ID:** 9967690
- **Project number:** 2P2CHD086843-06
- **Recipient organization:** UNIVERSITY OF PITTSBURGH AT PITTSBURGH
- **Principal Investigator:** Fabrisia Ambrosio
- **Activity code:** P2C (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $98,977
- **Award type:** 2
- **Project period:** 2020-07-06 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9967690

## Citation

> US National Institutes of Health, RePORTER application 9967690, Administrative Oversight (2P2CHD086843-06). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9967690. Licensed CC0.

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