Summary
The overarching goal of this notice of funding opportunity (NOFO) and its companion opportunities is to establish the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) Program to support development of innovative, reliable, cost-effective, and sustainable multimodal AI-based clinical decision support (CDS) tools. PRIMED-AI CDS tools are based on the integration of clinical imaging with other types of multimodal health data to enhance care for patients with a wide range of health conditions. The PRIMED-AI Program seeks to catalyze the adoption of AI-based CDS tools into clinical workflows to enable novel personalized medicine strategies that address significant health challenges.The purpose of this NOFO is to create a Logistics Center for the PRIMED-AI Program to facilitate and coordinate PRIMED-AI activities to maximize impact for the PRIMED-AI community. Within the Logistics Center, three integrated Cores will serve the functions of Administration, Evaluation, and Outreach for the PRIMED-AI Consortium. It is expected that the Logistics Center will work closely with other PRIMED-AI consortium members to collect, curate and disseminate information regarding tools developed by the PRIMED-AI award recipients, and will facilitate widespread access and awareness across the relevant scientific, patient, and clinical communities.
Eligibility
- Public and State Institutions of Higher Education
- State Governments
- Special District Governments
- Native American Tribal Organizations Other Than Federally Recognized Tribal Governments
- Nonprofits Non Higher Education Without 501c3
- County Governments
- Other
- Native American Tribal Governments Federally Recognized
- Nonprofits Having A 501(c)(3) Status With the Irs Other Than Institutions of Higher Education
- For Profit Organizations Other Than Small Businesses
- Small Businesses
- Public and Indian Housing Authorities
- City Or Township Governments
- Private Institutions of Higher Education
- Independent School Districts
Funding categories
- Health
Official source and attribution
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