# Training & Dissemination

> **NIH NIH P41** · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · 2020 · $126,900

## Abstract

Training and Dissemination Project Summary
 The broad mission of our Center for Advanced Imaging Innovation and Research (CAI2R) is to bring
together collaborative translational research teams for the development of high-impact biomedical imaging
technologies, with the ultimate goal of changing day-to-day clinical practice. The Training activities of CAI2R
are addressed at educating students and collaborators in the best use of our technologies, and also at
investigating and sharing best practices in the formation and operation of successful translational research
teams. Our Dissemination activities, meanwhile, aim to maximize the availability and impact of our
technologies, through both academic and industrial pathways. Specific aims are as follows: 1) To provide
students and collaborators with hands-on translational and clinical research training; 2) To offer the embedded
multidisciplinary interaction that is a foundation of CAI2R to outside collaborators and users; 3) To provide
source code, data and other resources openly to the academic research community and to stimulate inter-
institutional collaboration; and 4) To integrate industrial partners into the onsite development process, providing
immediate clinical feedback and accelerating commercial adoption of new imaging techniques and
technologies.

## Key facts

- **NIH application ID:** 9996683
- **Project number:** 5P41EB017183-07
- **Recipient organization:** NEW YORK UNIVERSITY SCHOOL OF MEDICINE
- **Principal Investigator:** Riccardo Lattanzi
- **Activity code:** P41 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $126,900
- **Award type:** 5
- **Project period:** 2014-09-30 → 2024-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9996683

## Citation

> US National Institutes of Health, RePORTER application 9996683, Training & Dissemination (5P41EB017183-07). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9996683. Licensed CC0.

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