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The FY2026 Emerging Health Innovators Initiative, Notice ID ARPA-H-SOL-26-150, is ARPA-H's dedicated funding route for early-career principal investigators and carries two explicitly AI-focused topics among its 16 anticipated topic areas: Causally-Grounded Alignment for Clinical Generative Artificial Intelligence Tools, and Protecting Patient Data in Life Science AI.
The first targets the core failure mode of clinical generative AI, which is that models aligned on correlational patterns in clinical text produce fluent recommendations that are not causally grounded in the underlying disease mechanism; the topic asks for alignment approaches anchored in causal structure rather than human preference ratings.
The second addresses privacy-preserving computation over life-science datasets, where the tension between model utility and patient re-identification risk currently blocks multi-institution training.
The structure is two-stage and the first gate is the binding one: a required Solution Summary is due 30 October 2026 at 2:00 PM ET, and only proposers who clear that stage are positioned for the full proposal deadline of 10 February 2027 at 2:00 PM ET. An optional virtual Proposers' Day was held on 13 October 2026. ARPA-H anticipates 20 or more awards per year at up to 350,000 dollars per year for two years with an optional third year.
Submission is through the ARPA-H Solutions portal at solutions. arpa-h. gov after retrieving the solicitation and its attachments from SAM.
gov under the notice ID.
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Or search similar grants →According to the current listing, eligibility includes: The defining restriction is career stage: the principal investigator must be within eight years after completion of their first terminal degree, measured at the time of submission. Eligible employers span academia, non-profits and industry, but the institution must be U.S.-based, including U.S. territories. Several exclusions are explicit and disqualify applicants who otherwise fit the career-stage test: investigators who have previously led a prime award from any ARPA agency are ineligible, postdoctoral fellows cannot serve as lead, and Federally Funded Research and Development Centers, national laboratories and government entities are excluded as performers. The eight-year clock and the no-prior-ARPA-prime rule together make EHI a genuinely first-time mechanism, and an investigator who has already held an ARPA-H, DARPA or ARPA-E prime award should look to the agency's open program solicitations instead. Because awards are made as other transactions and cooperative agreements rather than conventional assistance instruments, institutional contracting offices unfamiliar with ARPA-H should be engaged early; other-transaction terms differ materially from standard grant terms on intellectual property, cost principles and reporting. Applicants must select one of the 16 published topics and address it directly, so a strong clinical-AI proposal written against a topic other than the two AI topics will not be evaluated favourably. Retrieve the solicitation and all attachments from SAM.gov under ARPA-H-SOL-26-150 and submit through solutions.arpa-h.gov; the 30 October 2026 Solution Summary is mandatory and there is no route to the full proposal stage without it. Confirm the full requirements in the official notice before applying.
The current listing shows individual EHI awards are limited to a maximum of 350,000 US dollars per year for two years, with an optional third year contingent on project performance, so amount_min is recorded as 350,000 for a single year and amount_max as 1,050,000 for the full three-year potential. The grants.gov listing for the preceding cycle (ARPA-H-SOL-25-118) published an award ceiling of 700,000 dollars and an award floor of 1 dollar, which corresponds to the firm two-year commitment before the optional extension. ARPA-H anticipates funding 20 or more awards per year across all 16 topic areas, meaning the AI topics compete alongside inflammation, neuroscience, infectious disease, organ preservation and cancer topics rather than against a ring-fenced AI allocation. The ceiling is modest by ARPA-H standards and is deliberately so: EHI is a career-launch mechanism, not a program award, and the real value proposition is direct mentorship from and engagement with ARPA-H program managers, which is the gateway to the agency's much larger program solicitations later. Indirect-cost treatment and award mechanism vary because ARPA-H issues these as other transactions and cooperative agreements rather than standard grants, so applicants should confirm allowable costs against the solicitation attachments on SAM.gov before budgeting. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for ARPA-H Emerging Health Innovators (EHI) Initiative FY2026 (ARPA-H-SOL-26-150) Including Causally-Grounded Alignment for Clinical Generative AI Tools and Protecting Patient Data in Life Science AI are due October 30, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
ARPA-H Emerging Health Innovators (EHI) Initiative FY2026 (ARPA-H-SOL-26-150) Including Causally-Grounded Alignment for Clinical Generative AI Tools and Protecting Patient Data in Life Science AI is funded by Advanced Research Projects Agency for Health (ARPA-H), U.S. Department of Health and Human Services. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The ONR Long Range Broad Agency Announcement (N00014-25-S-B001) is the Office of Naval Research's primary mechanism for soliciting research proposals across all naval science and technology priority areas. The BAA accepts proposals on a rolling basis through September 30, 2026 and covers ONR's full spectrum of research interests with particular emphasis on AI-related topics including autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, cooperative autonomous swarm technology, undersea autonomy, and AI-enabled decision superiority. Proposals can be funded through multiple mechanisms including individual investigator grants, the Young Investigator Program (~$510K over 3 years for early-career faculty), and Multidisciplinary University Research Initiative (MURI) awards ($1.5M/year for 3-5 years for research teams). ONR recommends contacting relevant program officers before submitting to discuss alignment with current research priorities. The BAA supports basic research (6.1), applied research (6.2), and advanced technology development (6.3) across the full range of naval-relevant science and engineering disciplines.
PRIMED-AI is a new NIH Common Fund programme, Precision Medicine with AI: Integrating Imaging with Multimodal Data, which combines medical imaging with other health data to build AI-powered clinical decision support tools for personalised medicine. This opportunity, RFA-RM-27-014, funds the programme's Validation Center: a dedicated hub that independently evaluates and characterises the AI-enabled, image-based multimodal clinical decision support tools developed elsewhere in the consortium. The structural logic matters for applicants. NIH has separated tool-building from tool-validation and is paying separately for the second, which signals institutional recognition that self-reported performance claims from developing teams are not sufficient evidence for clinical AI. The Center's remit covers verification, validation, interoperability and uncertainty quantification, so the deliverable is a reproducible evaluation capability rather than a set of papers. It operates as a U54 cooperative agreement, meaning NIH staff are substantively involved and the Center must work in concert with the PRIMED-AI Logistics Center and the Data-to-Model and Model-to-Clinic award recipients. The RFA was released on 30 June 2026 with applications due 2 October 2026. For academic groups that have built credible AI evaluation methodology, particularly in radiology, imaging informatics or biostatistics, this is an unusually direct route to becoming the reference evaluator for a major federal AI health programme, and the position carries influence over how clinical AI performance gets measured well beyond the life of the award.
RFA-RM-27-015 funds a single Logistics Center as the coordinating hub of the NIH Common Fund's PRIMED-AI program, Precision Medicine with AI: Integrating Imaging with Multimodal Data. The award is a cooperative agreement, meaning substantial NIH scientific and programmatic involvement is built in rather than incidental, and it is administered by NIBIB on behalf of the Common Fund. The Center operates through three integrated cores: Administration, which runs the steering committees and develops consortium policies; Evaluation, which assesses progress across the funded portfolio; and Outreach, which maintains a web portal for sharing AI-based clinical decision support tools and facilitates engagement between researchers, clinicians and patient communities. The strategic point for applicants is that this is the only coordinating award in a multi-award program whose other components, the Data-to-Model Academic-Industrial Partnerships, Model-to-Clinic and Multi-use Frameworks Playbook RFAs, are separately competed and separately funded. The Logistics Center therefore does not generate its own AI models; it is scored on its capacity to run a consortium, set data and tool-sharing policy, and build infrastructure that makes other teams' clinical decision support tools discoverable and reusable. Applications are due by 5:00 PM local time of the applicant organization on the date specified for the relevant review cycle, with an earliest project start date of 2 October 2026 and a maximum project period of five years.
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Read articleThe Emerging Health Innovators solicitation drops on SAM.gov by the end of September 2026 with 16 named topic areas, an eight-year terminal-degree ceiling, and an eligibility screen that bars national labs, FFRDCs, UARCs, and anyone who has ever led an ARPA prime award. Proposers' Day is October 13. Here is how to read the design.
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