1) CBRN Battlespace Sensing, Alerting, and Response

Abstract

Improve the Department of Defense's capability to detect, identify, alert, and respond to deliberate releases and naturally occurring outbreaks of chemical and biological threat agents. Focus on large, real-time human data collects of chemical and biological (CB) agent / agent proxy exposures. Studies will focus on examining the feasibility of specifically isolating indicators of respiratory infection, determining severity of infection, predicting return to mission readiness after exposure, and examining physiological effects on human tissue in multi-organ-chips after exposure to CB threat agents. Enable early implementation of countermeasures such as isolation, quarantine, and removal from an area, thus potentially reducing transmission, morbidity, and mortality rates. Mature algorithms and incorporate Machine Learning (ML) approaches for refining sensitivity and specificity.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2024
Source ID
b91f47effd71c8cb998465c043173f33

Tags

Readers

  • Critical Infrastructure Protection in CBRN and WMD Threats.
  • Infectious Disease/Epidemiology
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy

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