The American Heart Association AHA Institute for Precision Cardiovascular Medicine is accepting applications for Precision Health and Machine Learning programs listed below. Applicants must complete their applications within the AHA Grants@Heart system and, once finished, click on the Submit to Grants Officer option; this will release the application to the UI Division of Sponsored Programs DSP for review and submission to AHA.

 In order for DSP to do its part, University of Iowa applicants must be sure to: 
a) Select John Keller as Grant Officer where prompted within the application form; and
b) Complete the UI Routing Form/process to secure departmental and collegiate approvals at least five business days (July 24, 2019) before the AHA submission deadline.

Program opportunities, deadlines and information links are provided below. Please see AHA Grants FAQs. Additional questions may be directed to Mary Blackwood mary-blackwood@uiowa.edu phone: 335-3968, or Tracy Titus tracy-titus@uiowa.edu  phone 335-3202, in the UI Division of Sponsored Programs DSP.

AHA Institute for Precision Cardiovascular Medicine Grants:  https://www.heart.org/en/professional/institute/grants

GRAND CHALLENGE: Precision Health and Precision Medicine Grant
(AHA deadlines are confirmed as July 31 as in the guidelines, not July 30 posted on the AHA website)

Purpose: To conduct and explore modern experimental techniques (in all fields) coupled with robust data sources to make significant advances in understanding and/or deployment of precision health and precision medicine practices. Data source examples include but are not limited to images, electronic health records, genetics and omic-related data, community engagement data (including social determinants of health), wearable devices, smart phone and other sensor related technology. Investigators at all career levels and across all disciplines are eligible to apply. Maximum Funding: $250,000 per year for 4 years, including 10% institutional costs ($1,000,000 cash total), with up to $50,000/year Amazon Web Services service credit for use on the AHA Precision Medicine Platform.

Request for Applications  https://www.heart.org/-/media/files/professional/institute/rfa_grand-challenge.pdf?la=en&hash=CE8B0E3ABD1F49D124E1BB42EF0BA7D5E55DF94E 
UIowa Completion/Routing Deadline to Sponsored Programs July 24, 2019
Deadline to AHA July 31, 2019

Artificial Intelligence and Machine Learning Grants

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

Request for Applications https://www.heart.org/-/media/files/professional/institute/rfa_aiml4_final.pdf?la=en&hash=3FD1DE3D782AE9C34FE712BB5A9AB64BE29C8A44 
UIowa Completion/Routing Deadline to Sponsored Programs July 24, 2019.
AHA Deadline is July 31, 2019.

Artificial Intelligence and Machine Learning Clinical Training Grant

This is a training award for student researchers (undergraduate, graduate or pre- or post-doctoral) with at least a Bachelor’s degree and a mentor. The Purpose is to test and refine artificial intelligence and machine learning algorithms using varying healthcare system-related 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: $100,000 over 2 years, with up to $50,000/year Amazon Web Services service credit for use on the AHA Precision Medicine Platform.

Request for Applications:  https://www.heart.org/-/media/files/professional/institute/rfa_tgaiml4clin.pdf?la=en&hash=9F6582D4E4A8402CDDC8DF47F0C529724B3088B7  

UIowa Completion/Routing Deadline to Sponsored Programs July 24, 2019. 
AHA Deadline is July 31, 2019.