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AI/ML for Casualty Prediction & Anomaly Detection

Active

Federal

Response Deadline09/13/2026, 07:00:00 PM UTC

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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The Defense Health Agency within the Department of Defense is seeking a subcontractor for a project focused on AI/ML for Casualty Prediction and Anomaly Detection. The primary objective is to develop advanced models for forecasting casualty rates utilizing Monte Carlo simulations and implementing anomaly detection within medical logistics. Additionally, the scope includes the creation of an NLP-powered virtual assistant to provide critical decision support. This opportunity was posted on August 17, 2026, with a response deadline of September 13, 2026. The contract falls under NAICS code 541715, reflecting its focus on research and development in the physical, engineering, and life sciences. Interested parties can find further details through the provided SAM.gov workspace link.

General Info

DHA seeks subcontractor for AI/ML casualty prediction, anomaly detection, and NLP virtual assistant.

Agency

Department Of Defense → Defense Health AgencyView Agency

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)View NAICS

Place of Performance

4000, VA, USA

Set-Aside

NONE

Documents

This scope was carved out of DHA_JOMIS_JMP_20260813.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

JOMIS Joint Medical Planning, Modeling and Simulation Capabilities

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Timeline

PostedAug 17

subcontract

Response DeadlineSep 13

Submission deadline

Response Deadline

09/13/2026, 07:00:00 PM UTCin 27 days

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Organization & Contact Information

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AgencyDepartment Of Defense → Defense Health Agency

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department Of Defense → Defense Health Agency

View Agency Profile

Office AddressN/A

ContactsNo contact information available

Full Description

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Develop AI/ML models for casualty rate forecasting using Monte Carlo simulations and anomaly detection in medical logistics, including an NLP-powered virtual assistant for decision support.

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