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This Government Contract opportunity from Department Of Health And Human Services was posted on April 28, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

AI/ML Model Development and Testing (AP2-Focused)

Closed
Federal

Contract Overview

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The contract seeks the development and testing of machine learning models designed to predict immuno-inflammatory dysregulation by analyzing clinical and biomarker datasets, with validation conducted through AP2’s established infrastructure to ensure accuracy and reliability. The models must meet predefined usability thresholds to be considered viable for real-world deployment, emphasizing practical application alongside technical performance. All work must align with the objectives outlined by the Advanced Research Projects Agency for Health under the U.S. Department of Health and Human Services, leveraging AP2’s resources for robust validation. This subcontract, categorized under NAICS code 541721 for scientific research and development services, is open for response until May 28, 2026, at 5:00 PM, with the solicitation posted on April 28, 2026. Performance is expected to occur within the scope of AP2’s operational framework, though specific location details are not specified. The effort is part of a broader initiative to advance predictive analytics in immune health, requiring close integration with existing platforms and adherence to rigorous validation standards.

General Info

Develop and validate machine learning models predicting immuno-inflammatory dysregulation using AP2 infrastructure.

Agency

Department Of Health And Human Services → Advanced Research Projects Agency For Health (arpa-h)

NAICS

541721

Place of Performance

DC, USA

Set-Aside

NONE

Documents

This scope was carved out of ARPA-H-SOL-26-139.

The full solicitation package (13 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Critical Illness Immunological Reprogramming and Control Point Learning Engine (CIRCLE) Innovative Solutions Opening (ISO)

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Health And Human Services → Advanced Research Projects Agency For Health (arpa-h)
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Health And Human Services → Advanced Research Projects Agency For Health (arpa-h)
Office AddressN/A
ContactsNo contact information available

Full Description

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Develop and test machine learning models to predict immuno-inflammatory dysregulation using clinical and biomarker data, validated through AP2’s infrastructure and meeting usability thresholds.

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Keith Deutsch
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