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ARPA-H MOCS (Making Obstetrics Care Smart) develops technology to help families and care teams plan for and have safe deliveries by generating tools to predict both chronic and acute fetal status and provide the best recommendations for intervention. The program uses new sensors paired with artificial intelligence and machine learning to predict infant status.
Two technical areas are funded: (1) risk scoring systems for predicting low fetal oxygen levels using AI/ML models and (2) novel non-invasive wireless monitoring methods to assess fetal risk continuously during labor and delivery. The program addresses the critical challenge that current fetal monitoring technologies have high false positive rates leading to unnecessary interventions while missing genuine distress signals.
Pre-proposal discussions were required before full proposal submission. This is distinct from ARPA-H AIR which focuses on surgical robotics and from ARPA-H ADVOCATE which develops agentic AI for cardiovascular care.
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Search similar grants →Based on current listing details, eligibility includes: Open to interdisciplinary teams from academia industry nonprofits and small businesses with expertise in AI/ML obstetrics fetal medicine and medical device development. Pre-proposal discussion scheduling requests were due December 19 2025. Full proposals were due January 21 2026 at 12:00 PM ET via the ARPA-H Solutions Portal. SAM.gov Notice ID ARPA-H-SOL-26-143. Future rounds may be announced. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Multiple awards anticipated across two technical areas. Total program funding not publicly disclosed. ARPA-H programs typically range from $3 million to $20 million per performer team. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is January 21, 2026. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
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