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Identifying the Effects of GLP-1 Medications Among Individuals with Cardiovascular, Kidney and Metabolic Disease Grant

American Heart Association Inc

Funding Amount

Up to US $300,000

Deadline

Rolling / Open

Grant Type

foundation

Overview

Identifying the Effects of GLP-1 Medications Among Individuals with Cardiovascular, Kidney and Metabolic Disease Grant

Status: ACTIVE
Funder: American Heart Association
Amount: Up to US $300,000
Last Updated: December 08, 2025

Summary

The American Heart Association is inviting proposals for research on the effects of GLP-1 and GIP agonists in individuals with cardiovascular, kidney, and metabolic diseases. This initiative aims to explore how these medications can alleviate the CKM burden. Researchers with expertise in causal inference, machine learning, and cardiovascular research are encouraged to apply, particularly those working in multidisciplinary teams and leveraging various data sources.

Overview

Note: 1) Letters of Intent are mandatory and are due on the deadline indicated above for Letter of Inquiry. 2) Applications invited to submit a proposal (Full Proposal) are chosen from the Letters of Intent. Over our more than 100-year history, we've been fighting heart disease and stroke, striving to save and improve lives. Our Mission To be a relentless force for a world of longer, healthier lives. Identifying the Effects of GLP-1 Medications Among Individuals with Cardiovascular, Kidney and Metabolic Disease The purpose of this Request for Proposal (RFP) announcement is to fund research focused on the potential contribution of GLP-1/GIP agonists to reducing the CKM burden in the coming years. We invite proposals for a research project focused on evaluating the effects of GLP-1 and/or GIP agonists among individuals with cardiovascular, kidney, and metabolic disease (CKM) and/or obesity. Proposals are welcomed from researchers with experience in causal inference methods, machine learning, and cardiovascular research. Collaborative proposals involving multidisciplinary teams are encouraged. Proposals are encouraged to leverage data sources including de-identified claims data, electronic health records and prospective cohort studies.

Eligibility

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Focus Areas & Funding Uses

Fields of Work

science-researchheart-disease

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