Grants

The AHA Institute for Precision Cardiovascular Medicine is accepting applications from researchers for Data Grant Portfolio 3.0.

Applications are due January 29, 2019


Artificial Intelligence and Machine Learning Grants

Build, test and refine artificial intelligence and machine learning algorithms using varying data sources, which may include, images, electronic health records, wearable devices, smart phones and other sensor-related technology, genetics, biology, and community engagement metrics.

Maximum Funding Amount: $200,000 over 2 years, and up to $50,000/year Amazon Web Services service credit for use on the AHA Precision Medicine Platform.


Artificial Intelligence and Machine Learning Training Grants

A training award for student researchers (undergraduate, graduate or pre- or post-doctoral) with at least a Bachelor’s degree and a mentor - to test and refine artificial intelligence and machine learning algorithms using varying data sources. Data sources may include: images, electronic health records, wearable devices, smart phones and other sensor-related technology, genetics, biology, and community engagement.

Maximum Funding Amount: $100,000 over 2 years, with up to $50,000/year Amazon Web Services service credit for use on the AHA Precision Medicine Platform.


Artificial Intelligence and Machine Learning Clinical Training Grant

A training award for student researchers (undergraduate, graduate or pre- or post-doctoral) with at least a Bachelor’s degree and a mentor - to test and refine artificial intelligence and machine learning algorithms using varying data healthcare system sources. Data sources may include: images, electronic health records, wearable devices, smart phones and other sensor-related technology, genetics, biology, and community engagement.

Maximum Funding Amount: $100,000 over 2 years, with up to $50,000/year Amazon Web Services service credit for use on the AHA Precision Medicine Platform.

How do we choose which applications to fund?

We’ll fund researchers from anywhere in the world who are working in the field of data science. We have grants that range from early-, mid-, and established career timelines. We also fund training grants for pre-doctoral as well as post-doctoral applicants.

We have funded researchers who have just started out and are working on their first project. And we’ve funded researchers who have had more than 20 projects previously funded.

You must meet the requirements of the individual grant to be considered by the Institute.


Frequently Asked Questions

Meet our past grantees

Guido Falcone, MD, ScD, MPH

"Once we identify one of these [genetic] mutations, we can look at a combination of these mutations and try to gauge a person's risk even before that person has the disease. That's the world of precision medicine."

Stacey Knight, PhD

“Our project takes those two very large datasets and uses the AHA Precision Medicine Platform to accelerate findings of cardiovascular disease-related genetic causes”

Bonnie Ky, MD, MSCE

"Through the AHA’s Institute for Precision Cardiovascular Medicine, I’ve been fortunate to obtain funding for a project focusing specifically on using imaging to identify new patterns of cardiotoxicity in breast cancer patients.”

Anand Rohatgi, MD

"Using these large cohorts of people with available specimens and the deep phenotyping approach, we’ll better understand HDL’s precise function not just for the population as a whole but for specific individuals."