Results 241 to 250 of about 3,045,461 (301)

Time to accelerate rare disease research: AI‐powered in silico trials, digital twin‐driven RCTs and decision‐grade real‐world evidence

open access: yes
British Journal of Clinical Pharmacology, Volume 92, Issue 7, Page 1991-1993, July 2026.
Andrej Belančić   +5 more
wiley   +1 more source

Computational Toxicology

open access: yesSystems Medicine, 2021
Presentation to the American College of Toxicology’s online Advanced Comprehensive Toxicology course August 2021Search for CCTE records in EPA’s Science Inventory by typing in the title at this link.https://cfpub.epa.gov/si/si_public_search_results.cfm?advSearch=true&showCriteria=2&keyword=CCTE&TIMSType=&TIMSSubTypeID=&epaNumber ...
Friedemann Schmidt
semanticscholar   +4 more sources

Machine Learning Methods in Computational Toxicology [PDF]

open access: yesMethods in molecular biology, 2018
Various methods of machine learning, supervised and unsupervised, linear and nonlinear, classification and regression, in combination with various types of molecular descriptors, both "handcrafted" and "data-driven," are considered in the context of their use in computational toxicology.
I. Baskin
semanticscholar   +4 more sources

What is Computational Toxicology?

Methods in Molecular Biology, 2012
Computational toxicology is a vibrant and rapidly developing discipline that integrates information and data from a variety of sources to develop mathematical and computer-based models to better understand and predict adverse health effects caused by chemicals, such as environmental pollutants and pharmaceuticals.
Brad Reisfeld, Reisfeld Brad
exaly   +3 more sources

Computational Systems Toxicology

open access: yes, 2015
Toxicogenomics is an emerging field defined by the adaptation and application of functional genomics techniques to toxicology. Recent advances in generating and analyzing multi-omics data have facilitated the development of toxicogenomics to provide novel answers to many toxicology-related questions.
Constantinescu, Simona   +4 more
core   +3 more sources

Advances in Computational Toxicology

Challenges and Advances in Computational Chemistry and Physics, 2019
exaly   +3 more sources

Computational Toxicology

open access: yes, 2018
This volume explores techniques that are currently used to understand solid target-specific models in computational toxicology. The chapters are divided into four sections and discuss topics such as molecular descriptors, QSAR and read-across; molecular ...
S. Thakkar, R. Perkins, H. Hong, W. Tong
core   +4 more sources

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