Funding Opportunities for AI and Experimental Techniques from the American Heart Association

The American Heart Association (AHA) Institute for Precision Cardiovascular Medicine is accepting applications from researchers for Data Grant Portfolio 4.0.

The AHA Institute for Precision Cardiovascular Medicine created a new model for bringing together science and technology to drive breakthroughs in cardiovascular and brain health and disease. Learn more about the Institute at institute.heart.org

Applications are due July 30, 2019. Learn more about the grant opportunities and submit your application at www.heart.org/en/professional/institute/grants. Fields of study using bioinformatics, code development, and scientific community development are welcome!

 Grand Challenge Grant -  To 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, (pan)omic-related data, endophenotypes, community engagement data (including social determinants of health), wearable devices, and smart phone and/or other sensor-related technology. Investigators at all career levels and across all disciplines are eligible to apply.

AHA & Amazon Web Services Artificial Intelligence and Machine Learning Training Grants -  To train student researchers (graduate, or pre/post-doctoral) in testing and refining artificial intelligence and machine learning algorithms, using learning health care system data and/or multiple longitudinal data sources to improve our understanding of all data related to precision medicine. 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. Applicants are encouraged to use multiple sources of data, or longitudinal data to continue to refine algorithms.

AHA & Amazon Web Services Artificial Intelligence and Machine Learning Grants - To test and refine artificial intelligence and machine learning algorithms using learning health care system data and/or multiple longitudinal data sources to improve our understanding of all data related to precision medicine. 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. Applicants are encouraged to use multiple sources of data, or longitudinal data to continue to refine algorithms.

AHA & Amazon Web Services Artificial Intelligence and Machine Learning Clinical Training Grants - To cross-train post-doctoral researchers in testing and refining artificial intelligence and machine learning algorithms using learning health care system data and/or multiple longitudinal data sources to improve our understanding of all data related to precision medicine. 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. Applicants are encouraged to use multiple sources of data, or longitudinal data to continue to refine algorithms.