AHA Awards $ 2M To AI And Precision Medicine Studies

The American Heart Association (AHA) Institute for Precision Cardiovascular Medicine has awarded a total of US $2 million to seven researchers. This amount is to be used for three grants focused on advancing artificial intelligence (AI), machine learning (ML), and precision medicine.

The grants include the Amazon Web Services 4.0 Data Grant Portfolio: Artificial Intelligence and Machine Learning grant; and the American Heart Association American Heart Association Grand Challenge: Precision Health & Precision Medicine grant; the American Heart Association and Amazon Web Services 4.0 Data Grant Portfolio: Artificial Intelligence and Machine Learning Training Grants.

Since 2014, the AHA Institute for Precision Cardiovascular Medicine has funded more than 93 grants that are worth more than $30.2 million since 2014. The institute has established several research initiatives that are designed to advance disease treatments and therapies.

For example, the One Brave Idea project aims to develop strategies to combat coronary heart disease. The Center for Accelerated Drug Discovery can leverage the supercomputing to reduce the time to market for new drugs and therapies by up to 50%.

Applicants for the grants included some of the brightest minds in the fields of AI, ML, and precision medicine. Each grant includes an Amazon Web Services (AWS) credit for $50,000 per year for use on the AHA Precision Medicine Platform. This is a central hub for the cardiovascular research community and stroke research community. With this platform, scientists can access large and diverse datasets, along with cloud-based workspaces that facilitate innovative analytics, computing, and collaboration for new discoveries.

Research data sources that were eligible for consideration included digital images, electronic health records (EHRs), genetics, smartphones, wearable devices, other sensor-related technologies, and community engagement data.

Awardees used a combination of modern experimental techniques with robust data sources. This combination aimed to make major strides in understanding or deploying precision medicine or precision health practices.

Recipients of the grants include Andrew McCulloch and Cui Tao. Andrew McCulloch, PhD, of the University of California San Diego, will receive $200,000 over two years for a project using cardiac atlases for ML in congenital heart disease. Other projects involve the use of AI to improve care for cardiac arrest survivors, stroke survivors, and pediatric cardiac patients. Cui Tao, PhD, of the University of Texas Health Science Center at Houston, will receive $1 million over four years for a project using AI on dual antiplatelet therapy duration.

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