System Biology And Network Science Technology
Abstract
This projects efforts support biological and clinical applied research using the data analysis and integration grid (SysBioCube) as an overarching means of complex data usage to solve critical health problems. The primary capability of systems biology (field of study that focuses on complex interactions within biological systems, using a holistic approach) is the integration and analysis of complex human and animal study data and development of computational disease models, using global multi-omic methods to identify and discriminate unique combinations of biological molecules corresponding to clinical conditions (physiologic, immunologic, endocrine, etc.), supporting transition of research to clinical applications. This capability applies a systematic integrated approach to trace progression of illnesses and diseases and has already shown that the approach significantly reduces time, funds and effort invested in medical product development and refinement. An application of systems biology is to characterize physiological pathways altered by toxic substances enabling identification of the causative toxic substances as well as to understand the injury mechanisms. The detection/identification of physiological markers of exposure to toxic substances can then be used to support medical countermeasure decisions or development of targeted therapeutic drugs. These examples of more complex, yet integrated approaches to projects studying biological systems (Post-Traumatic Stress Disorder (PTSD) Project) have 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 United States Army Medical Research and Materiel Command (USAMRMC), Fort Detrick, MD / United States Army Center for Environmental Health Research (USACEHR). Efforts in this project support the Soldier Portfolio and the principal area of Systems Biology/Network Sciences.
Document Details
- Document Type
- Project
- Publication Date
- Oct 01, 2017
- Source ID
- VB4_0602787A_2_2040_PB_2017
Related Documents
- Root: Medical Technology
- Child Accomplishment: Systems Biology