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ADVOCATE’s objective is to revolutionize the management of patients with CVD by enabling the development of a clinically validated, regulatory-compliant, patient-facing, multimodal agentic system to support and deliver clinical care. The agentic system will operate as a unit with two distinct interoperable components, which are the CVD Agent (TA1) and Supervisory Agent (TA2), which will be developed, implemented, and clinically validated with support of healthcare organizations (TA3). TA1 – CVD Agent: TA1 is centered on the development of a clinical AI Agent that provides care management to patients with chronic CVD, such as heart failure and post-myocardial infarction (“heart attack”). This CVD Agent will interact directly with patients either through a mobile app or regular phone/text. It will leverage patient’s inputs and data to perform advanced clinical reasoning. This clinical AI Agent will function in with direct control and in coordination with the patient’s trusted healthcare providers. It will operate as an extension of the clinical team with the ability to adapt its functions to the context in which the healthcare is provided. The CVD Agent will work to achieve the goals set by the clinical team while dynamically adapting to the patient’s preferences. See attached file.
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ARPA-H (through NIH) issued an Innovative Solutions Opening (ARPA-H-SOL-26-142) called ADVOCATE to support development of agentic AI systems for autonomous and semi-autonomous cardiovascular clinical care. The ISO describes a multi-phase program (Phase 1A, 1B, Phase 2) with milestones focused on prototype development, IV&V, FDA engagement, and scalability studies over ~39 months. The opportunity is an ARPA-H solicitation (likely to result in Other Transaction or Cooperative Agreement awards), open for full & open competition with NAICS 541714 and a solution submission/proposal deadline of 2026-04-01T21:00:00Z.
Posted Date
Jan 13, 2026
Due Date
Apr 1, 2026
Release: Jan 13, 2026
Close: Apr 1, 2026
ARPA-H (through NIH) issued an Innovative Solutions Opening (ARPA-H-SOL-26-142) called ADVOCATE to support development of agentic AI systems for autonomous and semi-autonomous cardiovascular clinical care. The ISO describes a multi-phase program (Phase 1A, 1B, Phase 2) with milestones focused on prototype development, IV&V, FDA engagement, and scalability studies over ~39 months. The opportunity is an ARPA-H solicitation (likely to result in Other Transaction or Cooperative Agreement awards), open for full & open competition with NAICS 541714 and a solution submission/proposal deadline of 2026-04-01T21:00:00Z.
AvailableThe Defense Advanced Research Projects Agency (DARPA) issued Special Notice DARPA-SN-26-37 announcing an in-person Proposers Day for the Smash program on February 24, 2026 at the DARPA Conference Center in Arlington, VA. DARPA anticipates releasing the Program Announcement on SAM.gov prior to the event; the Proposers Day will include technical, contracting, and commercial strategy briefings, a Q&A, and a poster session. This Special Notice is not a grant and has a response deadline of 2026-02-13T17:00:00Z; interested parties must consult the official SAM.gov posting for full participation and submission instructions.
Posted Date
Feb 2, 2026
Due Date
Feb 13, 2026
Release: Feb 2, 2026
Close: Feb 13, 2026
The Defense Advanced Research Projects Agency (DARPA) issued Special Notice DARPA-SN-26-37 announcing an in-person Proposers Day for the Smash program on February 24, 2026 at the DARPA Conference Center in Arlington, VA. DARPA anticipates releasing the Program Announcement on SAM.gov prior to the event; the Proposers Day will include technical, contracting, and commercial strategy briefings, a Q&A, and a poster session. This Special Notice is not a grant and has a response deadline of 2026-02-13T17:00:00Z; interested parties must consult the official SAM.gov posting for full participation and submission instructions.
Identify ways for utilities to overcome key barriers to the adoption of generative artificial intelligence (genai) and agentic ai, including actionable guardrails such as cybersecurity protocols, architectural design options, and redundancy requirements, that help ensure secure AI deployment. Identify a minimum of four genai pilot applications within the water/wastewater sector and implement each within two additional utilities. Document the transfer process, data governance and data quality requirements, operational insights, lessons learned on reproducibility, and early impacts of each demonstration. One application should focus on knowledge transfer and training. Catalogue agentic ai applications currently in use within the water/wastewater sector and capture key lessons learned and early impacts from each application. Reproduce a minimum of one low-effort agentic ai application at another utility and document the transfer process and lessons learned.
Posted Date
Jan 24, 2026
Due Date
Feb 7, 2026
The Defense Advanced Research Projects Agency (DARPA) will hold an in-person Promethean Clay Proposers Day on February 25, 2026, at the DARPA Conference Center in Arlington, VA to introduce the program vision and facilitate teaming. The Special Notice (DARPA-SN-26-30) lists a registration and response deadline of February 18, 2026, for those interested in the upcoming Program Solicitation (DARPA-PS-26-16). Materials and Q&A related to the program are expected to be posted on DARPA's dedicated Promethean Clay program page.
Posted Date
Jan 26, 2026
Due Date
Feb 18, 2026
Release: Jan 26, 2026
Close: Feb 18, 2026
The Defense Advanced Research Projects Agency (DARPA) will hold an in-person Promethean Clay Proposers Day on February 25, 2026, at the DARPA Conference Center in Arlington, VA to introduce the program vision and facilitate teaming. The Special Notice (DARPA-SN-26-30) lists a registration and response deadline of February 18, 2026, for those interested in the upcoming Program Solicitation (DARPA-PS-26-16). Materials and Q&A related to the program are expected to be posted on DARPA's dedicated Promethean Clay program page.
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Close: Feb 7, 2026
Identify ways for utilities to overcome key barriers to the adoption of generative artificial intelligence (genai) and agentic ai, including actionable guardrails such as cybersecurity protocols, architectural design options, and redundancy requirements, that help ensure secure AI deployment. Identify a minimum of four genai pilot applications within the water/wastewater sector and implement each within two additional utilities. Document the transfer process, data governance and data quality requirements, operational insights, lessons learned on reproducibility, and early impacts of each demonstration. One application should focus on knowledge transfer and training. Catalogue agentic ai applications currently in use within the water/wastewater sector and capture key lessons learned and early impacts from each application. Reproduce a minimum of one low-effort agentic ai application at another utility and document the transfer process and lessons learned.
Available