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ARPA-H Delphi (Developing self-monitoring ecosystems to 'know thyself') is a new 2026 program that aims to create AI-powered continuous health monitoring systems that enable individuals to understand and track their own health states in real time.
The program seeks to develop novel sensor technologies, data integration platforms, and AI/ML algorithms that can provide personalized health insights by continuously monitoring biological signals and health indicators.
Delphi envisions a future where self-monitoring health ecosystems powered by AI can detect disease onset, track chronic condition progression, and provide early warning of health deterioration before clinical symptoms manifest. The program is led by Paul E. Sheehan, Ph.
D. and is currently listed among ARPA-H's open funding opportunities, accepting proposals through the ARPA-H Solutions portal. This program represents ARPA-H's investment in proactive and preventive health technologies that shift healthcare from reactive treatment to continuous AI-assisted monitoring and early intervention.
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Or search similar grants →According to the current listing, eligibility includes: Academic institutions, non-profits, corporate entities, or combinations thereof. Teams should have expertise in biosensor development, AI/ML for health data, continuous monitoring technologies, or personalized medicine. Both U.S.-based and international organizations eligible to receive ARPA-H funding. Confirm the full requirements in the official notice before applying.
The current listing shows multi-year program with multiple awards anticipated. ARPA-H programs typically fund $5 million to $50 million per performer team. Currently listed as an open funding opportunity on ARPA-H's solicitation portal. Verify award ceilings, matching requirements, and allowable costs in the official notice.
ARPA-H Delphi AI-Powered Self-Monitoring Health Ecosystems Program is funded by Advanced Research Projects Agency for Health (ARPA-H). 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.
Violence Against Women Discretionary Grants for Indian Tribal Governments is sponsored by Department of Justice. To increase tribal capacity to respond to violent crimes against Indian women, and to develop and strengthen victim services in cases involving violent crimes against Indian women. This listing is currently active. Program number: 16.587. Last updated on 2024-11-26.
The NSF CISE Future Computing Research (Future CoRe) program supports research in computing and communication foundations, intelligent systems, and network systems. The program funds innovative research that advances the frontiers of computing including artificial intelligence, machine learning, computer vision, natural language processing, and robotics. This is one of NSF's largest computing research programs with $280 million in total budget. Projects can address fundamental computing challenges, novel AI architectures, scalable intelligent systems, and next-generation network infrastructure.
The 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.
Read articleARPA-H's 2026 SBIR/STTR BAA opens seven transformative health topics with $600K Phase I and $3.5M Phase II contracts — non-dilutive, milestone-driven money. The July 10 Solution Summary gate decides who ever gets to pitch. Here's how the ARPA-H model differs from NIH and how small health-tech firms actually get through the funnel.
Read articleARPA-H's FY2026 SBIR/STTR solicitation closes its Solution Summary stage July 10, with seven named topics spanning women's health, autoimmune diagnostics, toxin removal, and neurosurgical robotics. Awards run up to $600K for Phase I and $3.5M for Phase II — but they are contracts, not grants, and the four-to-six-page summary is the gate that filters out most applicants. Here is how ARPA-H's model actually works and how to win the first stage.
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