EventsMOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Event submissions
Published
with-doi10.3390/mol2net-08-13921
This submission belongs to the session 07. TECHLAW.SCI-06: Technol., & Law Sci. Congresses, Bayonne, France-Miami, USA, 2022. of the event MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Published date
29 Dec, 2022
Academic Editor
author-avatarHumbert G. Díaz
Citation
Andrea Ruiz Escudero, The application of Artificial Intelligence and Machine Learning to the Pharmaceutical Industry, in Proceedings of MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed., 1 January–15 January 2023, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-08-13921
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The application of Artificial Intelligence and Machine Learning to the Pharmaceutical Industry

Andrea Ruiz Escudero 1,2
1. Department of Pharmacology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa, Biscay, Spain.
2. Department of Information and Communication Technologies, Computer Science Faculty, University of A Coruña,Campus de Elviña, A Coruña, Spain.
Abstract

The pharmaceutical industry is experiencing significant changes and is adopting new technologies at a faster rate than before. The application of 4.0 technologies increases the productivity and effectiveness of automated pharmacy processes, therefore, these technologies are driving the industry's growth. These include artificial intelligence (AI), Machine learning (ML), Internet of Thing (IoT), Big data, and other Industry 4.0 technologies. This review will discuss the use of AI and ML in the pharmaceutical industry. Moreover, some pharmaceutical startups that implemented these technologies will be presented.

Keywords
Artificial Intelligence
Machine Learning
pharmaceutical industry
4.0 technologies
drug development
startups
Artificial Neural Network
Manuscript
AI and ML in pharmaceutical industries.pdf
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