Spiros Denaxas, Ph.D, University College London, Project: Using machine learning in large-scale EHR and genomics data to define and characterize heart failure phenotypes.Iftikhar Kullo, M.D., Mayo Clinic, Project: Using Big Data Analytics to Discover Pleiotropic Effects of Genes Regulating Lipid Metabolism.Westyn Branch-Elliman, M.D., Veterans Affairs, Boston, Project: Application of Advanced Medical Informatics to Improve Arrhythmia Care through Reduction of Cardiac Device Infections.The awardees for the data mining pilot grants are: Brahmajee Nallamothu, M.D., University of Michigan, Project: AngioAid: A Fully Automated Computer-Based Platform for Interpreting Coronary Angiograms.Simon Lin, M.D., MBA, Nationwide Children's, Project: CardioGenomics eXchange commons: A cloud-based collaboration platform for the analysis /exchange of genome sequencing data.
The awardees for innovative development grants are: Hua Xu, Ph.D, The University of Texas Health Science Center at Houston, Project: Developing a data discovery index to facilitate precision medicine research in cardiovascular diseases.Mintu Turakhia, M.D., MAS, Stanford University and VA Palo Alto Health Care System, Project: Machine and Deep Learning of Dense Patient Data to Improve Stroke Risk Stratification in Atrial Fibrillation.Jyotishman Pathak, Ph.D, Cornell University, Project: Data Element Mapping Recommender Service for Cardiovascular Disease Research Studies.David Kao, M.D., University of Colorado, Denver, Project: Aggregating Data to Accelerate Personalization of the Treatment of Heart Failure (ADAPT-HF).The awards include data mining grants, methods validation grants, innovative development grants and cross-disciplinary fellowship awards. The platform provides scientists from around the world easy access to store, share and analyze large datasets with the power of cloud computing to find new answers to accelerate breakthroughs in prevention, treatment and cures for heart disease and stroke. Grant recipients received credits to conduct computational analysis and store research data on the American Heart Association Precision Medicine Platform-a data marketplace that houses vast, diverse and previously siloed information, powered by the AWS cloud. The competitive grants and fellowships total $2 million and are awarded to scientists with backgrounds in data science and computer engineering.
DALLAS, NOVEMThe American Heart Association Institute for Precision Cardiovascular Medicine and Amazon Web Services (AWS) announced 13 grants awarded to scientists who are transforming a one-size-fits-all healthcare into a system that focuses on an individual's unique needs through precision medicine.
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