The National Heart, Lung, and Blood Institute (NHLBI), part of the National Institutes of Health (NIH), is inviting novel Solutions for the NHLBI Big Data Analysis Challenge: Creating New Paradigms for Heart Failure Research.

The goal of the challenge is to foster innovation in computational analysis and machine learning approaches utilizing large-scale NHLBI-funded datasets to identify new paradigms in heart failure research. The challenge aims to address the need for new open source disease models that can define sub-categorizations of adult heart failure to serve as a springboard for new research hypotheses and tool development in areas of heart failure research from basic to clinical settings.

NHLBI will award up to a total of $250,000. Up to five (5) winners will be selected, with each winning up to $50,000. The competition period ends at NOON EDT on August 28, 2020.

For more information on this challenge please click HERE.

Participants are strongly encouraged to use NHLBI-funded datasets in the development of their Solutions. To view available BioLINCC data collections and initiate a request for data, please click HERE.

For a description of BioLINCC request requirements, please refer to section 3.0 of the BioLINCC Handbook and FAQ.