AI in Drug Discovery

AI in Drug Discovery Djork-Arné Clevert Primary Author Michael Wand Primary Author Kristína Malinovská Primary Author Jürgen Schmidhuber Primary Author Igor V. Tetko Primary Author mixed material bibliography Cham Springer Nature 2025 en English 176 Halaman 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. data mining 615.1 9783031723810 Perpustakaan UMA Online Public Access Catalog (OPAC) 615.1 Djo a AI in Drug Discovery 1234.png.png 23671 2026-08-26 08:23:46 2026-09-04 14:27:02 machine generated