TY  - BOOK
AU  - Clevert,Djork-Arné
AU  - Wand,Michael
AU  - Malinovská,Kristína
AU  - Schmidhuber,Jürgen
AU  - Tetko,Igor V.
ED  - SpringerLink (Online service)
TI  - AI in Drug Discovery: First International Workshop, AIDD 2024, Held in Conjunction with ICANN 2024, Lugano, Switzerland, September 19, 2024, Proceedings 
T2  - Lecture Notes in Computer Science,
SN  - 9783031723810
AV  - Q334-342 
U1  - 006.3 23
PY  - 2025///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Artificial intelligence
KW  - Data mining
KW  - Chemistry
KW  - Data processing
KW  - Artificial Intelligence
KW  - Data Mining and Knowledge Discovery
KW  - Computational Chemistry
N1  - Open Access
N2  - 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
UR  - https://doi.org/10.1007/978-3-031-72381-0
ER  -