Clevert AI in Drug Discovery

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

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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.


This book is open access, which means that you have free and unlimited access

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Djork-Arné Clevert

Themen in »AI in Drug Discovery«

Open Access Synthesis planning chemo-informatics big data deep learning drug discovery convolution neural networks toxicity GNNs transformers explainable AI active learning feature decomposition de novo molecular design quantum-mechanical properties solvent effects

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Details

ISBN: 9783031723810
Verlag: Springer International Publishing
Erscheinung: 19.09.2024

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