PRIMED-AI: Multi-use Framework Playbooks (UG3 Clinical Trial Not Allowed)
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Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.
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The NIH Common Fund, in collaboration with other NIH Institutes and Centers, plans to release a Notice of Funding Opportunity (NOFO) for the Precision Medicine with Artificial Intelligence - Integrating Imaging with Multimodal Data (PRIMED-AI) program. This initiative aims to create innovative, reliable, and cost-effective AI tools that combine clinical imaging with various health data types to improve personalized treatment for patients with chronic and other health conditions. The program's Playbook initiative will focus on funding discrete projects that develop frameworks for the responsible use of PRIMED-AI models, including strategies for error mitigation, technical data and algorithm management, data ontology and linkage, and preparation for regulatory approval such as FDA clearance. The NOFO will employ the UG3 activity code and currently is not soliciting applications but is providing advance notice to allow potential applicants time to form collaborations and develop responsive projects. Researchers with expertise in AI-driven clinical imaging integration and multimodal health data are encouraged to consider this opportunity. Collaborative efforts aimed at harmonizing processes for the development and validation of multimodal AI tools that leverage diverse data sources will be particularly welcomed. Key contacts for inquiries include Dr. Sahana N. Kukke at the NIH Common Fund, who can be reached via email or phone.
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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 Precision Medicine with Artificial Intelligence - Integrating Imaging with Multimodal Data (PRIMED-AI) program, which seeks 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. The program’sPlaybook initiative 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. 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 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.
