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AI In Drug Discovery

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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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Ketersediaan

Informasi Detail

No. Panggil

615.1 Djo a

Penerbit

Cham : Springer Nature., 2025

Deskripsi Fisik

176 Halaman

Bahasa

Indonesia

ISBN/ISSN

9783031723810

Klasifikasi

615.1

Edisi

-

Subjek

Data Mining

Pernyataan Tanggungjawab

Djork

Versi lain/terkait

Lampiran Berkas

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