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This Government Contract opportunity from Department Of Defense was posted on June 1, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Computational Modeling and Bioinformatics Analysis

Closed
Federal

Contract Overview

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This contract focuses on the development of advanced computational models driven by artificial intelligence and machine learning to simulate biological systems and predict medical countermeasure efficacy, disease progression, and host responses to chemical, biological, radiological, and nuclear (CBRN) agents. The work involves integrating multi-omics datasets and experimental data to create robust systems biology simulations, aiming to enhance understanding and forecasting of complex biological interactions relevant to defense applications. Issued by the Department of Defense under NAICS code 541721, this subcontract opportunity was posted on June 1, 2026, with a response deadline of June 12, 2026. The contract emphasizes bioinformatics analysis and computational modeling to support national defense objectives by improving predictive capabilities for disease and treatment outcomes in response to CBRN threats. Specific geographic performance locations and organizational types are not disclosed, highlighting the technical and strategic nature of this engagement.

General Info

Develop AI-driven computational models simulating biological systems to predict CBRN agent effects.

Agency

Department Of Defense → W6QK Acc-Apg

NAICS

Place of Performance

MD

Set-Aside

NONE

Documents

(0)

No documents available

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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 Defense → W6QK Acc-Apg
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Defense → W6QK Acc-Apg
Office AddressN/A
ContactsNo contact information available

Full Description

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Develop AI/ML-driven computational models and systems biology simulations to predict MCM efficacy, disease progression, and host responses to CBRN agents using multi-omics and experimental data.