AI in Drug Discovery: First Inteational Workshop, AIDD 2024, Held in Conjunction with ICANN 2024, Lugano, Switzerland, September 19, 2024, Proceedings (Lecture Notes in Computer Science, 14894)

by: Djork-Aé Clevert (Editor),Michael Wand (Editor),Kristína Malinovská (Editor),Jürgen Schmidhuber (Editor),Igor V. Tetko (Editor)

Publisher: Springer

Edition: 2025th

Publication Date: 2024/9/27

Language: English

Print Length: 214 pages

ISBN-10: 3031723805

ISBN-13: 9783031723803

Book Description

This open Access book constitutes the refereed proceedings of the First Inteational Workshop on AI in Drug Discovery, AIDD 2024, held as a part of the 33rd Inteational 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 Leaing, eXplainable AI (XAI), Chemoinformatics, Use of deep leaing to predict molecular properties, Modeling and prediction of chemical reaction data and Generative models.

About the Author

This open Access book constitutes the refereed proceedings of the First Inteational Workshop on AI in Drug Discovery, AIDD 2024, held as a part of the 33rd Inteational 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 Leaing, eXplainable AI (XAI), Chemoinformatics, Use of deep leaing to predict molecular properties, Modeling and prediction of chemical reaction data and Generative models.