Electronic Medical Records Access for Pharmacies (under Rural Health Transformation Program)

Grants awarded under this announcement are to provide disaster reimbursement and assistance funds to those State Units on Aging (SUAs), and federally recognized Tribal Organizations who are currently receiving a grant under Title VI of the Older Americans Act (OAA), as amended. Total funding available for disaster assistance is subject to the availability of funds appropriated. The estimated number of awards is seven with a one year project period. Funds may only be used in those areas designated in the Major Disaster Declaration issued by the President of the United States under the Robert T. Stafford Relief and emergency Assistance Act. Funds typically are for the following OAA Title III types of gap-filling services: outreach, information and assistance, counseling, case management, advocacy on behalf of older persons, additional food and meals, supplies, damaged senior center equipment replacement, staff overtime, emergency medications, transportation and other such immediate needs. OAA funds may be sed for permissible expenses incurred which are not or cannot be paid for through other disaster funding resources. Applicants should talk with State, Tribal, and local Emergency Managers to determine what funds may be available through other resources before applying for OAA funding. Eligible SUAs and Title VI grantees should discuss all disaster applications including amount of funds requested with ACL contacts prior to submitting a formal application. SUAs, and federally recognized Tribal Organizations currently receiving a grant under Title VI of the OAA must submit proposals electronically via http://www.grants.gov. Funding Opportunity Number: HHS-2026-ACL-AOA-DASG-0012. Assistance Listing: 93.048. Funding Instrument: CA. Category: ISS. Award Amount: $30K – $600K per award.

D2M-AIP is the discovery-end component of PRIMED-AI, the NIH Common Fund's new Precision Medicine with AI: Integrating Imaging with Multimodal Data program, which the NIH Council of Councils approved as a Common Fund program on April 21, 2025 and which launched five coordinated funding opportunities in 2026. The specific target here is AI-enabled, image-centered, multimodal clinical decision support tools - systems that fuse clinical imaging with other health data streams such as genomics, pathology, laboratory values and electronic health records - developed explicitly as Software as a Medical Device. Two features distinguish this announcement from ordinary NIH AI funding. First, the academic-industrial partnership requirement is structural rather than decorative: projects are meant to be pre-competitive collaborations positioned for eventual commercialization, so a purely academic team without an industry partner is unlikely to be competitive. Second, the phased UG3/UH3 mechanism means the award is gated - the UG3 phase (up to $450,000 direct costs per year) funds development against defined milestones, and transition to the UH3 phase (up to $800,000 direct costs per year) depends on meeting them. Applicants should write the milestone plan as a first-class part of the proposal rather than an afterthought. The emphasis on novel data integration and new AI model development means incremental applications of existing architectures to a new dataset will read poorly; reviewers are looking for methodological advance paired with a credible regulatory and deployment path. Eligibility is broad, including foreign organizations, which is unusual among the five PRIMED-AI announcements - the Validation Center, Logistics Center and Playbook opportunities all exclude foreign entities. Teams whose tool is already a validated prototype rather than a concept should look instead at the companion Model-to-Clinic announcement, RFA-RM-27-013, which shares this deadline.

The U.S. Special Operations Command (USSOCOM) Engage SOF (eSOF) program is a rolling submission opportunity connecting commercial technologies to special operations forces needs across AI, ISR, cyber, mobility, medical, and advanced technology domains. The program accepts submissions on a rolling basis through December 31, 2026, with multiple non-dilutive funding pathways. USSOCOM recently expanded its Advanced Autonomy and Artificial Intelligence focus area, seeking modular and open integration of cutting-edge AI and machine learning solutions to enable enhanced autonomy in unmanned systems. Specific areas of interest include agentic AI and vision language action (VLA) models for sophisticated autonomous behaviors including adaptive learning; neural radiance fields (NeRFs) for 3D scene representation and navigation; generative AI for simulation and data augmentation; advanced automatic target recognition (ATR) algorithms with edge node refinement and autonomous model retraining; and human-machine interface solutions. The program supports solutions across 13 capability areas: Aviation Systems, Biometrics and Forensics, C4, Cyberspace Operations, Human Performance and Human Machine Interface, Information Operations, ISR, Irregular Warfare, Medical, Mobility, Power and Energy, Soldier Systems, and Weapons and Electronic Attack. Award pathways include contracts, OTAs, SBIR/STTR, CRADAs, or prize competitions. All submissions must be unclassified.