Coverart for item
The Resource 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

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

Label
Application of modern toxicology approaches for predicting acute toxicity for chemical defense
Title
Application of modern toxicology approaches for predicting acute toxicity for chemical defense
Statement of responsibility
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
Contributor
Issuing body
Subject
Genre
Language
eng
Summary
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
Member of
Cataloging source
NLM
Dewey number
615.9
Funding information
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.
Illustrations
illustrations
Index
no index present
LC call number
RA1211
LC item number
.A675 2015eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • technical reports
NLM call number
QV 602
http://library.link/vocab/relatedWorkOrContributorName
National Academies of Sciences, Engineering, and Medicine (U.S.)
http://library.link/vocab/subjectName
  • Toxicology
  • Toxicology
  • Hazardous Substances
  • Toxicity Tests
  • Chemical Warfare
  • Risk Assessment
  • United States
  • MEDICAL
  • Toxicology
Label
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
Instantiates
Publication
Copyright
Note
Title from PDF title page
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Conceptual framework and prioritization strategy -- Nontesting approaches relevant to prediction of acute toxicity and potency -- Assays for predicting acute toxicity -- Integration and decision-making for predictive toxicology -- Lessons learned and new steps
Control code
921843482
Dimensions
unknown
Extent
1 online resource (1 PDF file (xii, 117 pages))
Form of item
online
Isbn
9780309376679
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)921843482
Label
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
Publication
Copyright
Note
Title from PDF title page
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Conceptual framework and prioritization strategy -- Nontesting approaches relevant to prediction of acute toxicity and potency -- Assays for predicting acute toxicity -- Integration and decision-making for predictive toxicology -- Lessons learned and new steps
Control code
921843482
Dimensions
unknown
Extent
1 online resource (1 PDF file (xii, 117 pages))
Form of item
online
Isbn
9780309376679
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)921843482

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