The National Institutes of Health (NIH) Common Fund has announced new funding opportunities under the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) programme, aimed at accelerating the development of innovative artificial intelligence (AI) technologies that improve personalised healthcare. Announced on June 30, 2026, the initiative seeks to support researchers, institutions, and multidisciplinary teams developing reliable, cost-effective AI-based tools that combine medical imaging with diverse health data sources. The programme is designed to transform precision medicine by advancing responsible AI applications capable of improving diagnosis, treatment decisions, and patient outcomes. PRIMED-AI represents a strategic effort by NIH to address emerging opportunities and challenges within the medical AI landscape by supporting collaborative research, validation systems, data integration frameworks, and pathways for clinical implementation. PRIMED-AI Programme Focus and Objectives The PRIMED-AI initiative focuses on integrating clinical imaging data with other biological, clinical, and health-related information to create advanced AI models for personalised medicine. The programme aims to: • Develop innovative AI-enabled clinical decision support tools.• Improve the reliability and transparency of medical AI systems.• Establish methods for validating and managing AI-based healthcare technologies.• Support responsible use of multimodal health data.• Accelerate the transition of AI innovations from research environments into clinical practice. Through collaboration between academic researchers, healthcare professionals, technology developers, and industry partners, PRIMED-AI intends to create a foundation for the next generation of precision healthcare solutions. NIH Announces Five PRIMED-AI Funding Opportunities The NIH Common Fund is currently accepting applications for five specialised PRIMED-AI funding opportunities designed to support different stages of AI development and implementation. Validation Center Opportunity The Validation Center funding opportunity (RFA-RM-27-014) will support the establishment of an independent centre responsible for verifying, validating, and assessing uncertainty in AI-enabled tools developed through PRIMED-AI. The centre will provide critical oversight to ensure that AI models meet standards for accuracy, reliability, and responsible deployment. Key details: • Application deadline: October 2, 2026• Submission deadline: 5:00 PM local time of the applicant organisation Logistics Center Opportunity The Logistics Center opportunity (RFA-RM-27-015) will create administrative infrastructure to coordinate PRIMED-AI activities and maximise the impact of funded projects. The centre will operate through three integrated areas: • Administration• Evaluation• Outreach Key details: • Application deadline: October 2, 2026• Submission deadline: 5:00 PM local time of the applicant organisation Development and Testing of Multi-Use Frameworks Playbook The Development and Testing of Multi-use Frameworks Playbook opportunity (RFA-RM-27-011) will support projects developing standardised approaches for managing and advancing multimodal AI research. Supported frameworks will address: • Responsible AI model usage.• Error mitigation strategies.• Technical management of data and algorithms.• Data ontology and integration.• Preparation for regulatory approval processes. Key details: • Application deadline: October 9, 2026• Submission deadline: 5:00 PM local time of the applicant organisation Data-to-Model: An Academic-Industrial Partnership Opportunity The Data-to-Model: An Academic-Industrial Partnership (D2M-AIP) opportunity (RFA-RM-27-012) will support collaborations between academic institutions and industry partners. Projects funded through this opportunity will focus on integrating advanced multimodal datasets with clinical imaging information while developing innovative AI-enabled clinical decision support tools. The initiative encourages multidisciplinary teams working at the pre-competitive development stage to create solutions with broad healthcare applications. Key details: • Application deadline: October 19, 2026• Submission deadline: 5:00 PM local time of the applicant organisation Model-to-Clinic Opportunity The Model-to-Clinic (M2C) opportunity (RFA-RM-27-013) will support projects focused on translating validated AI prototypes into practical clinical applications. Projects are expected to demonstrate strong potential for improving patient outcomes and enhancing healthcare delivery processes. Key details: • Application deadline: October 19, 2026• Submission deadline: 5:00 PM local time of the applicant organisation Information Sessions and Researcher Engagement To support prospective applicants, NIH will host informational webinars and live question-and-answer sessions covering each funding opportunity. Upcoming engagement sessions include: • Validation Center and Logistics Center Q&A session: August 5, 2026, from 11:00 AM to 12:00 PM ET.• Multi-use Frameworks Playbook Q&A session: July 30, 2026, from 10:00 AM to 11:00 AM ET.• Data-to-Model Academic-Industrial Partnerships and Model-to-Clinic Q&A sessions: August 4, 2026, from 11:00 AM to 12:00 PM ET. Researchers and organisations interested in future announcements can subscribe to the PRIMED-AI mailing list for updates. Opportunities for Global Health and AI Researchers The PRIMED-AI programme presents a significant opportunity for researchers working in artificial intelligence, biomedical imaging, healthcare innovation, data science, and precision medicine. By supporting collaboration across scientific disciplines and sectors, the initiative aims to strengthen the development of trustworthy AI technologies that can contribute to improved healthcare systems worldwide. Eligible research institutions and multidisciplinary teams are encouraged to explore the funding opportunities and submit applications before the respective deadlines. VISIT OFFICIAL WEBSITE TO APPLY For more opportunities such as these please follow us on Facebook, Instagram, Twitter, LinkedIn and WPChannel Disclaimer: Global South Opportunities (GSO) is not the organization offering this opportunity. For any inquiries, please contact the official organization directly. Please do not send your applications & CVs to GSO, as we are unable to process them. Due to the high volume of emails, we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.