# Yale Summer Undergraduate Medical Research (Yale SUMR)

> **NIH NIH R25** · YALE UNIVERSITY · 2023 · $119,932

## Abstract

Project Abstract
This is an application to continue to provide intensive training in modern methods of kidney, urology and
hematology research with the intent to foster undergraduate students to pursue a career in biomedical research.
Funding for twelve students per summer is requested to provide support for the undergraduate students who are
committed to research training. Training is provided in both laboratory and patient-based research from the
various departments (Internal Medicine, Urology, Genetics, Cell Biology, Cellular and Molecular Physiology, and
Epidemiology and Public Health) that are often interconnected in understanding biology of the kidney, lower
urinary tract, and hematopoiesis during health and disease states. The undergraduate students' experience will
be enhanced not only by performing experiments but by an organized didactic teaching schedule given by
dedicated mentors, as well as a wide array of teaching conferences available in the selected departments. The
student will also have the opportunity to present his or her research at institutions funded by the R25 program at
the end of the summer rotation. The overall goal is for the students in this program to enroll in graduate or medical
school at a research-intensive institution focusing on kidney, hematological, or urological research.

## Key facts

- **NIH application ID:** 10651900
- **Project number:** 5R25DK121566-05
- **Recipient organization:** YALE UNIVERSITY
- **Principal Investigator:** Shuta Ishibe
- **Activity code:** R25 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $119,932
- **Award type:** 5
- **Project period:** 2019-05-15 → 2026-05-14

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10651900

## Citation

> US National Institutes of Health, RePORTER application 10651900, Yale Summer Undergraduate Medical Research (Yale SUMR) (5R25DK121566-05). Retrieved via AI Analytics 2026-06-11 from https://api.ai-analytics.org/grant/nih/10651900. Licensed CC0.

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