Application of modern toxicology approaches for predicting acute toxicity for chemical defense / Committee on Predictive-Toxicology Approaches for Military Assessments of Acute Exposures ; Committee on Toxicology ; Board on Environmental Studies and Toxicology ; Board on Life Sciences ; Division on Earth and Life Studies ; The National Academies of Sciences, Engineering, Medicine.
Saved in:
| Online Access: |
Full Text (via ProQuest) |
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| Format: | eBook |
| Language: | English |
| Published: |
Washington, D.C. :
The National Academies Press,
[2015]
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| Subjects: |
| Abstract: | The US Department of Defense (DOD) is faced with an overwhelming task in evaluating chemicals that could potentially pose a threat to its deployed personnel. There are over 84,000 registered chemicals, and testing them with traditional toxicity-testing methods is not feasible in terms of time or money. In recent years, there has been a concerted effort to develop new approaches to toxicity testing that incorporate advances in systems biology, toxicogenomics, bioinformatics, and computational toxicology. Given the advances, DOD asked the National Research Council to determine how DOD could use modern approaches for predicting chemical toxicity in its efforts to prevent debilitating, acute exposures to deployed personnel. This report provides an overall conceptual approach that DOD could use to develop a predictive toxicology system. Application of Modern Toxicology Approaches for Predicting Acute Toxicity for Chemical Defense reviews the current state of computational and high-throughput approaches for predicting acute toxicity and suggests methods for integrating data and predictions. This report concludes with lessons learned from current high-throughput screening programs and suggests some initial steps for DOD investment. |
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| Item Description: | Title from PDF title page. |
| Physical Description: | 1 online resource (1 PDF file (xii, 117 pages)) : illustrations. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9780309376679 030937667X |
| Source of Description, Etc. Note: | Version viewed December 14, 2015. |
| Funding Information Note: | This project was supported by Contract W81K04-11-D-0017, TO#8 between the National Academies of Sciences, Engineering, and Medicine and the US Department of Defense. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the authors and do not necessarily reflect the view of the organizations or agencies that provided support for this project. |