Introduction to the Special Issue: AI Meets Toxicology-Reference-Cited by-同舟云学术

Introduction to the Special Issue: AI Meets Toxicology

Published:2023-08-21 Issue:8 Volume:36 Page:1163-1167
ISSN:0893-228X
Container-title:Chemical Research in Toxicology
language:en
Short-container-title:Chem. Res. Toxicol.

Author:

Klambauer Günter¹^ORCID,Clevert Djork-Arné²,Shah Imran³^ORCID,Benfenati Emilio⁴^ORCID,Tetko Igor V.⁵⁶^ORCID

Affiliation:

1. ELLIS Unit Linz, LIT AI Lab & Institute for Machine Learning, Johannes Kepler University Linz, Altenbergerstraße 69, Linz 4040, Austria

2. Machine Learning Research, Pfizer Worldwide Research Development and Medical, Linkstr. 10, Berlin 10785, Germany

3. Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States

4. Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano 20156, Italy

5. Institute of Structural Biology, Molecular Targets and Therapeutics Center, Helmholtz Munich - Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), 85764 Neuherberg, Germany

6. BIGCHEM GmbH, Valerystr. 49, 85716 Unterschleißheim, Germany

Publisher

American Chemical Society (ACS)

Subject

Toxicology,General Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemrestox.3c00217

Reference32 articles.

1. Artificial Intelligence Meets Toxicology

2. DeepTox: Toxicity Prediction using Deep Learning

3. Deep learning in neural networks: An overview

4. A Review on the Recent Applications of Deep Learning in Predictive Drug Toxicological Studies

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