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Computational Systems Pharmacology and Toxicology
2017The network approaches of systems pharmacology and toxicology serve as early predictors of the most relevant screening approach to pursue both in drug discovery and development and ecotoxicological assessments. Computational approaches have the potential to improve toxicological experimental design, enable more rapid drug efficacy and safety testing ...
Rudy J. Richardson, Dale E. Johnson
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Machine Learning and Deep Learning in Computational Toxicology
Computational Methods in Engineering & the Sciences, 2023semanticscholar +1 more source
Computational Environmental Sciences and Toxicology
2019Guest lecture to the North Carolina State University BIO592 course April ...
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Use of computational toxicology tools to predict in vivo endpoints
Reproductive and Developmental Toxicology, 2022Marilyn H. Silva
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Public Databases Supporting Computational Toxicology
Journal of Toxicology and Environmental Health, Part B, 2010A major goal of the emerging field of computational toxicology is the development of screening-level models that predict potential toxicity of chemicals from a combination of mechanistic in vitro assay data and chemical structure descriptors. In order to build these models, researchers need quantitative in vitro and ideally in vivo data for large ...
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Computational Toxicology and Risk Assessment
2017Presented at SPH-V 546 Guest ...
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Machine Learning Approaches in Computational Toxicology Studies
Chemometrics and Cheminformatics in Aquatic Toxicology, 2021Pravin Ambure, S. Barigye, R. Gozalbes
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Blueprint for cancer research: Critical gaps and opportunities
Ca-A Cancer Journal for Clinicians, 2021J Bonilla, C D Booth, D Boscherini
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