UID:
almahu_9949887725802882
Umfang:
1 online resource (XXXVIII, 176 p. 50 illus., 49 illus. in color.)
Ausgabe:
1st ed. 2025.
ISBN:
9783031723810
,
3031723813
Serie:
Lecture Notes in Computer Science, 14894
Inhalt:
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.
Weitere Ausg.:
ISBN 9783031723803
Weitere Ausg.:
ISBN 3031723805
Sprache:
Englisch
DOI:
10.1007/978-3-031-72381-0
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