Deep Learning in Medical Signal and Image Processing
... machine learning for clinical end use. arXiv preprint arXiv:1905.05134. Topol, E. J. (2019). High- performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 25(1), 44–56. DOI: 10.1038/s41591-018-0300-7 ...
Predictive Analytics for Toxicology
Applications in Discovery Science Luis G. Valerio, Jr. Tokarz, D. A., Steinbach, T. J., Lokhande, A., Srivastava, G., Ugalmugle, R., Co, C. A., . . . Crabbs, T. (2021). Using artificial intelligence ... Dual use of artificial-intelligence ...
China's Total War Strategy
... Dual Use of Artificial Intelligence-powered Drug Discovery', Nature Machine Intelligence, Vol. 4, No. 3, March 2022. Michael Knutsen, 'Synthetic Bioweapons are Coming', Naval Institute Press, June 2021. Simon Coghlan and Kobi Leins ...
New Insights into Glioblastoma
... discovery of novel GSK3β inhibitors. Front Pharmacol 2020;11. https://doi.org/10.3389/ fphar.2020.566058. [6] Schneider P, Welin M, Svensson B, Walse B, Schneider G. Virtual screening and design with machine intelligence applied to Pim ...
Artificial Intelligence
... Dual use of artificial-intelligence-powered drug discovery. Nature Machine Intelligence, 4(3):189–191, 2022. [287] Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia ...
Artificial Intelligence in Drug Discovery
Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation.
Government Reports Announcements & Index
No description available.
Biomedical Technology & Human Factors Engineering
... Use of Computer - Aided Testing in the Investigation of Pilot Response to ... Artificial Intelligence and Robotics . Volume 1 : Artificial Intelligence ... Drug Administration ) Compliance Pro- gram. CONDENSERS ( LIQUEFIERS ) ...
Comprehensive Dissertation Index
No description available.
Artificial Intelligence in Drug Discovery and Design
Once a decade-long, billion-dollar gamble, drug development is now faster, smarter, and more precise-thanks to Artificial Intelligence.
Conference Papers Index
Monthly. Papers presented at recent meeting held all over the world by scientific, technical, engineering and medical groups. Sources are meeting programs and abstract publications, as well as questionnaires. Arranged under 17 subject sections, 7 of...
Documentation Abstracts
No description available.
The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry
This book follows the journey that a drug company takes when producing a therapeutic, from the very beginning to ultimately benefitting a patient's life.
Artificial intelligence for Drug Discovery and Development
Topic editor Alex Zhavoronkov is the founder of Insilico Medicine, a company specializing in AI research. He is also a professor at the Buck Institute for Research on Aging.
Science Citation Index
Vols. for 1964- have guides and journal lists.
Applied Artificial Intelligence for Drug Discovery
This volume serves not only as a scientific reference but also as a strategic guide for those looking to adopt AI in pharmaceutical pipelines and therapeutic development.
AI in Drug Discovery 2021
No description available.
Drug Design using Machine Learning
DRUG DESIGN USING MACHINE LEARNING The use of machine learning algorithms in drug discovery has accelerated in recent years and this book provides an in-depth overview of the still-evolving field.
Machine Learning in Drug Development: Part 1
Machine Learning in Drug Development: Part One, Volume 64 in the Annual Reports on Medicinal Chemistry series, highlights new advances in the field.
Machine Learning in Drug Development: Part 2
Chapters in this volume explore Transforming Modern Drug Discovery with Machine Learning – Applications in Ligand-based Drug Design, Optimizing Multi-Modal Drug Design Through Computational Pocket Mapping and Data Integration, Harnessing ...