Machine Learning and Deep Learning in Computational Toxicology

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160,49 

Computational Methods in Engineering & the Sciences

ISBN: 3031207327
ISBN 13: 9783031207327
Herausgeber: Huixiao Hong
Verlag: Springer Verlag GmbH
Umfang: xix, 635 S., 25 s/w Illustr., 124 farbige Illustr., 635 p. 149 illus., 124 illus. in color.
Erscheinungsdatum: 08.02.2024
Auflage: 1/2024
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 2653016 Kategorie:

Beschreibung

Autorenporträt

Huixiao Hong is a Senior Biomedical Research and Biomedical Product Assessment Service (SBRBPAS) expert and the chief of Bioinformatics Branch, Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration (FDA), working on the scientific bases for regulatory applications of bioinformatics, cheminformatics, artificial intelligence, and genomics. Before joining the FDA, he was the manager of Bioinformatics Division of Z-Tech, an ICFI company. He held a research scientist position at Sumitomo Chemical Company in Japan and was a visiting scientist at National Cancer Institute at National Institutes of Health. He was also an associate professor and the director of Laboratory of Computational Chemistry at Nanjing University in China. Dr. Hong is a member of steering committee of OpenTox, a member of the board directors of US MidSouth Computational Biology and Bioinformatics Society, and in the leadership circle of US FDA modeling and simulation working group. He published more than 240 scientific papers with a Google Scholar h-index 60. He serves as an associate editor for Experimental Biology and Medicine and an editorial board member for multiple peer-reviewed journals. He received his Ph.D. from Nanjing University in China and conducted research in Leeds University in England.

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E-Mail: juergen.hartmann@springer.com

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