AI in Drug Discovery

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First International Workshop, AIDD 2024, Held in Conjunction with ICANN 2024, Lugano, Switzerland, September 19,2024, Proceedings, Lecture Notes in Computer Science 14894

ISBN: 3031723805
ISBN 13: 9783031723803
Herausgeber: Djork-Arné Clevert/Michael Wand/Kristína Malinovská et al
Verlag: Springer Verlag GmbH
Umfang: xxxviii, 176 S., 1 s/w Illustr., 49 farbige Illustr., 176 p. 50 illus., 49 illus. in color.
Erscheinungsdatum: 27.09.2024
Auflage: 1/2024
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 4245178 Kategorie:

Beschreibung

This open Access book constitutes the refereed proceedings of the First International Workshop on AI in Drug Discovery, AIDD 2024, held as a part of the 33rd International Conference on Artificial Neural Networks, ICANN 2024, in Lugano, Switzerland, on September 19, 2024. The 12 papers presented here were carefully reviewed and selected for these open access proceedings. These papers focus on various aspects of the rapidly evolving field of Artificial Intelligence (AI)-driven drug discovery in chemistry, including Big Data and advanced Machine Learning, eXplainable AI (XAI), Chemoinformatics, Use of deep learning to predict molecular properties, Modeling and prediction of chemical reaction data and Generative models.

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E-Mail: juergen.hartmann@springer.com

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