# Research Education Component (RL5)

> **NIH NIH P30** · STANFORD UNIVERSITY · 2022 · $213,500

## Abstract

1. Summary (Research Education Component)
As the population continues to age there will be an even higher percentage of individuals over 70 years of age
with a subsequent increasing percentage of individuals affected by aging-related diseases, such as
Alzheimer's disease (AD) and related disorders (ADRD). The Stanford Alzheimer's Disease Center (SADRC)
Research Education Component (REC) aims to provide training to the next generation of clinicians and
scientists in dementia-related research, ensuring a strong and diverse workforce prepared to respond to this
public-health crisis. The REC supports the vision of the SADRC to serve as a shared resource to facilitate and
enhance multidisciplinary and interdisciplinary research in AD and ADRD. The REC will provide a
comprehensive and formalized training program to support 2-3 trainees per year to pursue research in and to
become leaders in the fields of aging, AD, and ADRDs. Along with the Leadership Team, the REC includes an
exceptional group of 28 mentors from 13 departments and programs at Stanford, who will serve as faculty to
the program participants. Formal didactics and coursework will complement clinical research training
opportunities and a research project leading to a manuscript and with the goal of submission of a Career
Development Award or Independent Research Award.

## Key facts

- **NIH application ID:** 10409751
- **Project number:** 5P30AG066515-03
- **Recipient organization:** STANFORD UNIVERSITY
- **Principal Investigator:** Kathleen Lombard Poston
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $213,500
- **Award type:** 5
- **Project period:** 2020-06-01 → 2025-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10409751

## Citation

> US National Institutes of Health, RePORTER application 10409751, Research Education Component (RL5) (5P30AG066515-03). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10409751. Licensed CC0.

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