System Biology And Network Science Technology

Abstract

This project encompasses two efforts to support applied research and impact medical research relevant to the Soldier. (A) The core capability for multidisciplinary applied research in systems biology enables integration and analysis of complex data from human and animal studies, development of in silico (via computer simulation) network models, allowing us to differentiate molecular signatures of disease, and supports transition of research to clinical applications. This core capability applies integrative and systemic biological approaches to trace progression of illnesses and diseases of military relevance and has already shown that the approach significantly reduces time, funds and effort invested in medical product development and refinement. (B) Applied research is to identify toxicity-altered pathways (scientists can infer human harm from chemicals on the basis of how they change the activity of biochemical steps in cells and animals) enabling us to understand the mechanisms of toxic environmental chemicals and to develop molecular markers of toxicity for a next generation diagnostic system to support early exposure medical decisions. These examples of more complex, yet integrated approaches to projects studying biological systems (PTSD project) has been shown to reduce both the time and expense of medical product development for the Army The cited work is consistent with the Assistant Secretary of Defense, Research and Engineering Science and Technology, focus areas and the Army Modernization Strategy. Work in this project is performed by the US Army Medical Research and Materiel Command (USAMRMC), Fort Detrick, MD. Efforts in this project support the Soldier Portfolio and the principal area of Systems Biology/Network Sciences.

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Document Details

Document Type
Project
Publication Date
Oct 01, 2015
Source ID
VB4_0602787A_2_2040_PB_2015

Tags

Readers

  • Military Science and Technology Research and Modernization.
  • Molecular and genetic basis of cancer.
  • Research Science/Academic Research

Technology Areas

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

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