# NIA/AA for Institute on Methods and Protocols for Advancement of Clinical Trials in ADRD (NIA/AA IMPACT-AD Course)

> **NIH NIH R25** · UNIVERSITY OF SOUTHERN CALIFORNIA · 2023 · $424,043

## Abstract

Project Summary
There is an urgent need for improved therapies for Alzheimer’s Disease and Related Dementias (ADRD). Critical
to the mission to develop treatments for and curb the public health impact of ADRD will be a new generation of
ADRD scientists, especially scientists with the unique training and skills necessary to design and perform clinical
trials. This training is rarely provided through the traditional course of medical or biostatistical education.
Moreover, to develop improved therapies for ADRD, multidisciplinary expertise in clinical trials will be necessary,
including medical specialists but also expertise in biostatistics, biomarkers, trial design, participant recruitment,
study organization, and trial ethics. This proposal requests support for a first-of-its-kind training program in the
essential elements of design and conduct of ADRD trials that will leverage the full infrastructure and expertise of
the Alzheimer’s Clinical Trials Consortium (ACTC) and be conducted annually to enable a diverse range of
clinicians, scientists and researchers to receive modern and robust training on ADRD clinical trials.

## Key facts

- **NIH application ID:** 10624324
- **Project number:** 5R25AG076392-02
- **Recipient organization:** UNIVERSITY OF SOUTHERN CALIFORNIA
- **Principal Investigator:** Joshua Grill
- **Activity code:** R25 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $424,043
- **Award type:** 5
- **Project period:** 2022-06-01 → 2027-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10624324

## Citation

> US National Institutes of Health, RePORTER application 10624324, NIA/AA for Institute on Methods and Protocols for Advancement of Clinical Trials in ADRD (NIA/AA IMPACT-AD Course) (5R25AG076392-02). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10624324. Licensed CC0.

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