1) CBRN Battlespace Sensing, Alerting, and Response
Abstract
Improve the Department of Defense's capability to detect, identify, alert, and responds to deliberate releases and naturally occurring outbreaks of chemical and biological threat agents. Expand on the development of predictive CB exposure algorithms based on non-invasively collected human biomarkers. Improve on the applicability and efficacy of these algorithms focusing on large, real-time human data collects of chemical and biological agent / agent proxy exposures. Studies will focus on examining the feasibility of specifically isolating indicators of respiratory infection, determining severity of infection, and predicting return to mission readiness after exposure. Enable early implementation of countermeasures such as isolation, quarantine, and removal from an area, thus potentially reducing transmission, morbidity, and mortality rates. Matured algorithms will incorporate Machine Learning (ML) approaches for refining sensitivity and specificity.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2024
- Source ID
- a2ad8e9c4158015fa09dc2fdb2fc4de1