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FutureTox II: in vitro data and in silico models for predictive toxicology
Thomas B Knudsen1, Douglas A Keller2, Miriam Sander1
1United States Environmental Protection Agency, Research Triangle Park, North Carolina 27711, Sanofi, Bridgewater, New Jersey 08807, Page One Editorial Services, Boulder, Colorado 80304, Dow Chemical Company, Midland, Michigan 48674, Health and Environmental Sciences Institute, Washington, District of Columbia 20005, University of Washington, Seattle, Washington 98105, United States Food and Drug Administration, Silver Spring, Maryland 20993, Sanofi, Bethesda, Maryland 20814, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709, University of North Carolina, Chapel Hill, North Carolina 27599, The Hamner Institutes, Research Triangle Park, North Carolina 27709, and European Commission Joint Research Centre, I-21027 Ispra, Italy.
Abstract:
FutureTox II, a Society of Toxicology Contemporary Concepts in Toxicology workshop, was held in January, 2014. The meeting goals were to review and discuss the state of the science in toxicology in the context of implementing the NRC 21st century vision of predicting in vivo responses from in vitro and in silico data, and to define the goals for the future. Presentations and discussions were held on priority concerns such as predicting and modeling of metabolism, cell growth and differentiation, effects on sensitive subpopulations, and integrating data into risk assessment. Emerging trends in technologies such as stem cell-derived human cells, 3D organotypic culture models, mathematical modeling of cellular processes and morphogenesis, adverse outcome pathway development, and high-content imaging of in vivo systems were discussed. Although advances in moving towards an in vitro/in silico based risk assessment paradigm were apparent, knowledge gaps in these areas and limitations of technologies were identified. Specific recommendations were made for future directions and research needs in the areas of hepatotoxicity, cancer prediction, developmental toxicity, and regulatory toxicology.
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