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AI in Drug Discovery : first International Workshop, AIDD 2024, held in conjunction with ICANN 2024, Lugano, Switzerland, September 19, 2024, Proceedings / Djork-Arné Clevert, Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko, editors

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture notes in computer science ; 14894Publisher: Cham : Springer, [2025]Description: 1 Online-Ressource (xxxviii, 176 pages) : illustrations (some color)ISBN:
  • 9783031723810
Other title:
  • AIDD 2024
Subject(s): Additional physical formats: Erscheint auch als: 3031723805 | Erscheint auch als: 9783031723803 | Erscheint auch als: 3031723805 DDC classification:
  • 615.1/90028563 23/eng/20241106
LOC classification:
  • RM301.25
Online resources: Summary: 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 modelsPPN: PPN: 193324724XPackage identifier: Produktsigel: ZDB-94-OAB
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