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Your computational analysis and machine learning capabilities could help 6.5 million American adults living with heart failure, and you (or your team) could receive an award of up to $50,000 for it.
The National Heart, Lung, and Blood Institute (NHLBI), part of the National Institutes of Health, announced the “NHLBI Big Data Analysis Challenge: Creating New Paradigms for Heart Failure Research” to foster innovation and address the need for new open-source disease models that can define sub-categorizations of adult heart failure. These models will support new research hypotheses that may lead to further advancements in the management of this disorder.
Participants are strongly encouraged to take advantage of NHLBI-funded datasets in the development of their Solutions and are also welcome to utilize other relevant data for their analyses.
The Competition period ends at NOON EDT on August 28, 2020. Learn more at www.nhlbi.nih.gov/HFdatachallenge.
The National Heart, Lung, and Blood Institute (NHLBI), part of the National Institutes of Health, announced the “NHLBI Big Data Analysis Challenge: Creating New Paradigms for Heart Failure Research” to foster innovation and address the need for new open-source disease models that can define sub-categorizations of adult heart failure. These models will support new research hypotheses that may lead to further advancements in the management of this disorder.
Participants are strongly encouraged to take advantage of NHLBI-funded datasets in the development of their Solutions and are also welcome to utilize other relevant data for their analyses.
The Competition period ends at NOON EDT on August 28, 2020. Learn more at www.nhlbi.nih.gov/HFdatachallenge.