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Universal PatchinG and Remediation for Autonomous DEfense (UPGRADE) program is sponsored by Advanced Research Projects Agency for Health (ARPA-H). This program focuses on enhancing and automating cybersecurity for healthcare facilities. It aims to create tools for information technology (IT) teams to better defend hospital environments from cyberattacks by speeding up vulnerability detection and automated patch deployment.
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Or search similar grants →According to the current listing, eligibility includes: Performer teams submitting proposals on the identified technical areas. Eligibility for specific solicitations will be detailed in the forthcoming notices. Confirm the full requirements in the official notice before applying.
Universal PatchinG and Remediation for Autonomous DEfense (UPGRADE) 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.
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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