Development and Testing of a Multi-use Frameworks Playbook for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (U01 Clinical Trial Not Allowed)

<p><span style="color: rgb(51, 51, 51);">The NIH Common Fund, with other NIH Institutes and Centers (ICs), intends to publish a Notice of Funding Opportunity (NOFO) to solicit applications for the&nbsp;</span><strong style="color: rgb(51, 51, 51);">Precision Medicine with Artificial Intelligence - Integrating Imaging with Multimodal Data (PRIMED-AI) program, which seeks&nbsp;</strong><span style="color: rgb(51, 51, 51);">to develop innovative, reliable, and cost-effective AI-based tools that integrate clinical imaging with other health data types to enhance personalized medicine for patients with chronic and other health conditions.&nbsp;The program’s</span><strong style="color: rgb(51, 51, 51);">Playbook initiative&nbsp;</strong><span style="color: rgb(51, 51, 51);">will fund the development and initial testing of discrete projects that deliver “playbooks” of frameworks for responsible use of PRIMED-AI models, error mitigation and technical management of data and algorithms, data ontology/linkage, and preparation for regulatory approval​ (e.g., FDA). Applications are not being solicited at this time. Notice is being provided to allow potential applicants sufficient time to develop meaningful collaborations and responsive projects.&nbsp;This NOFO will utilize the UG3 activity code. Investigators with expertise and insights into AI-driven integration of clinical imaging with other complex and multiscale health data are encouraged to begin to consider applying for this new NOFO. In addition, collaborative investigations combining expertise in&nbsp;harmonization processes for appropriate development and validation of multimodal AI tools to develop AI-based technologies leveraging multimodal data will be encouraged and these investigators should also begin considering applying for this application.</span></p>