NHLBI-AI #NHLBI-AI-25-001

NHLBI Solicits AI Research Projects and Data Science Center for HLBS Precision Medicine

This opportunity from the National Heart, Lung, and Blood Institute (NHLBI) seeks proposals for AI-driven research and a Data Science Center to advance precision medicine for heart, lung, blood, and sleep (HLBS) health. - Government Buyer: - National Heart, Lung, and Blood Institute (NHLBI), Artificial Intelligence Coordinating Center (AICC) - Scope of Work: - Fund 8-12 individual AI research projects focused on developing novel AI models and methods using multi-modal data (genomic, clinical, imaging, environmental) - Establish an AI Data Science Center (DSC) to provide scientific leadership, coordinate research, develop and implement AI tools, and oversee working groups - Encourage leveraging NHLBI-funded data resources such as TOPMed and BioData Catalyst, which utilize major cloud platforms (AWS, GCP, Azure) - Products/Services Requested: - AI research projects to develop foundation models, identify molecular phenotypes, and create predictive models for HLBS precision medicine - Data Science Center services including tool development, investigator training, partnership building, and ethical oversight - Unique/Notable Requirements: - Compliance with NIH data sharing and security policies - Open-source software standards - Milestone-based workplans - Addressing ethical, legal, and social implications of AI research - Flexible funding via Other Transactions Authority (OTA) - No specific OEMs or vendors are named, but AWS, GCP, and Azure are referenced as infrastructure providers - Eligible applicants include higher education institutions, nonprofits, for-profits, FFRDCs, UARCs, and foreign entities

Description

The NHLBI-AI Initiative seeks to establish at least one Data Science Center (DSC) to accelerate AI research related to heart, lung, blood, and sleep (HLBS) health. The DSC will lead AI/data science efforts, develop AI tools, train research teams, and collaborate with stakeholders. Individual AI research projects will focus on developing novel AI methods to advance understanding and treatment of HLBS diseases using diverse data types including clinical, imaging, environmental, and multi-omics data. The initiative encourages use of NHLBI-funded datasets and aims to transform HLBS health research and patient outcomes.

View original listing