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UT Research, Engineering, and Application Laboratory for Healthcare Artificial Intelligence (UT-REAL-Health-AI) Initiative is sponsored by The University of Texas System (with Texas Legislature funding). This systemwide initiative aims to establish a coordinated infrastructure to advance AI across all UT health campuses.
Key objectives include standardization and best practices for AI access, development of new AI tools, and preventing care disparities by ensuring all health systems have access to UT-REAL-Health-AI capabilities.
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UT Research Engineering and Application Lab (REAL) Health AI | The University of Texas System UT Research Engineering and Application Lab (REAL) Health AI In 2025, the University of Texas System received legislative approval and dedicated funding to launch UT REAL Health AI, a systemwide initiative to responsibly accelerate artificial intelligence in health.
By connecting expertise across UT institutions, UT REAL Health AI is building a coordinated ecosystem to improve patient care and safety, strengthen clinician efficiency, advance research, and prepare the workforce for an AI-enabled future. UT REAL Health AI was established through legislative support and state funding in 2025.
This investment reflects Texas’ commitment to advancing responsible AI adoption in healthcare, ensuring that innovation enhances care quality, efficiency, and safety across the UT System.
Executive Sponsor: Zain Kazmi, UT System Office of Health Affairs Chair: Dr. Peter McCaffrey, UT Medical Branch (UTMB) Executive Director: Dr. Nyma Shah, UT MD Anderson Cancer Center (UTMDACC) Zain Kazmi – UT System Office of Health Affairs Dr. Peter McCaffrey – UT Medical Branch Dr. Nyma Shah – UT MD Anderson Cancer Center Dr. Claudia Lucchinetti – UT Dell Medical School Dr. David Jaffray – UT MD Anderson Cancer Center Dr. Eric Peterson – UT Southwestern Medical Center Dr. Jiajie Zhang – UT Health Houston Cristina Blanton – UT System Dr. Edward Sankary – UT Health San Antonio To accelerate systemwide collaboration and execution, UT REAL Health AI established four key workgroups.
Strategic Priorities & Key Deliverables Secure Chat Deployment - Partnering with Qualified Health to enable secure, AI-driven clinical communications across all UT institutions. Three High-Value Use Cases - Co-designed with UT institutions to demonstrate systemwide benefit and scalability.
Systemwide AI Inventory - Comprehensive mapping of AI tools across the UT System to leverage expertise, negotiate vendor partnerships, and accelerate responsible adoption. Legislative approval, funding secured, and governance structure established. Steering Committee and workgroups formed.
Initial pilot projects selected. Secure Chat deployment in partnership with Qualified Health. Three priority use cases launched.
Systemwide AI inventory completed. Evaluation and scale-up of pilot projects across UT institutions. Workforce training framework deployed.
Legislative reporting and recommendations delivered. UT REAL Health AI directly supports the UT System’s mission to advance education, research, and clinical excellence: Education: Preparing the next-generation AI-enabled healthcare workforce. Research: Accelerating translational AI research and multi-institution collaboration.
Clinical Care: Improving patient outcomes, safety, and clinician efficiency. Systemwide Efficiency: Reducing duplication, ensuring responsible adoption, and maximizing return on investment. Strengthens UT’s position as a national leader in responsible AI in health.
Fosters collaboration and innovation across institutions. Enhances patient care and workforce readiness. Shared infrastructure and inventories enable cost efficiency and vendor leverage.
State funding catalyzes sustainable partnerships with industry, philanthropy, and federal agencies. UT REAL Health AI fulfills legislative intent by: Demonstrating responsible stewardship of AI in healthcare. Ensuring transparency and accountability in AI adoption.
Delivering measurable outcomes in care quality, workforce training, and efficiency. Positioning UT institutions as trusted partners in state and national AI policy leadership. For more information about UT REAL Health AI or to get involved, please contact: UT REAL Health AI Executive Director
Based on current listing details, eligibility includes: UT health campuses and institutions within The University of Texas System, focusing on AI in healthcare. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Funding amounts vary based on project scope and sponsor guidance. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
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Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
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Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
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Improving Undergraduate STEM Education: Education & Human Resources (IUSE: EHR) Program is sponsored by National Science Foundation (NSF). This program promotes novel, creative, and transformative approaches to generating and using new knowledge about STEM teaching and learning to improve STEM education for undergraduate students. It supports projects that bring recent advances in STEM knowledge into undergraduate education, adapt, improve, and incorporate evidence-based practices, and lay the groundwork for institutional improvement in STEM education. Professional development for instructors to ensure adoption of new and effective pedagogical techniques is a potential topic of interest.
The National Leadership Grants for Libraries Program (NLG-L) supports projects that address critical needs of the library and archives fields and have the potential to advance practice and strengthen library and archival services for the American public. Successful proposals will generate results such as new models, tools, research findings, services, practices, and/or alliances that can be widely used, adapted, scaled, or replicated to extend and leverage the benefits of federal investment. Applications to IMLS should both advance knowledge and understanding and ensure that the federal investment made generates benefits to society. Specifically, the goals for this program are to generate projects of far-reaching impact that: • Build the workforce and institutional capacity for managing the national information infrastructure and serving the information and education needs of the public. • Build the capacity of libraries and archives to lead and contribute to efforts that improve community well-being and strengthen civic engagement. • Improve the ability of libraries and archives to provide broad access to and use of information and collections with emphasis on collaboration to avoid duplication and maximize reach. • Strengthen the ability of libraries to provide services to affected communities in the event of an emergency or disaster. • Strengthen the ability of libraries, archives, and museums to work collaboratively for the benefit of the communities they serve. Throughout its work, IMLS places importance on diversity, equity, and inclusion. This may be reflected in an IMLS-funded project in a wide range of ways, including efforts to serve individuals of diverse geographic, cultural, and socioeconomic backgrounds; individuals with disabilities; individuals with limited functional literacy or information skills; individuals having difficulty using a library or museum; and underserved urban and rural communities, including children from families with incomes below the poverty line. Application Process: The application process for the NLG-L program has two phases; applicants must begin by applying for Phase I. For Phase I, all applicants must submit Preliminary Proposals by the September 20th deadline listed for this Notice of Funding Opportunity. For Phase II, only selected applicants will be invited to submit Full Proposals, and only those Invited Full Proposals will be considered for funding. Invited Full Proposals will be due March 20, 2024. Funding Opportunity Number: NLG-LIBRARIES-FY24. Assistance Listing: 45.312. Funding Instrument: G. Category: AR,HU. Award Amount: $50K – $1M per award.
The California Department of Education (CDE) Early Education Division is making approximately .7 million available to expand California State Preschool Program (CSPP) services statewide, appropriated under the 2021 Budget Act. Eligible applicants are local educational agencies (LEAs), including school districts, county offices of education, community college districts, and direct-funded charter schools—both current CSPP contractors and new applicants. Funding supports full-day/full-year or part-day/part-year preschool services for income-eligible children beginning in FY 2024–25. Awards are allocated by county based on Local Planning Council priority areas and application scores, with redistribution provisions if county allocations are underutilized.