Applications of artificial intelligence and machine learning in pharmaceutical domain: A comprehensive review
Department of Pharmaceutical Chemistry, Swamy Vivekanandha College of Pharmacy, Tiruchengode, Namakkal, Tamilnadu, India- 637205.
Review
World Journal of Biology Pharmacy and Health Sciences, 2023, 16(02), 112–125.
Article DOI: 10.30574/wjbphs.2023.16.2.0467
Publication history:
Received on 24 September 2023; revised on 06 November 2023; accepted on 09 November 2023
Abstract:
Artificial Intelligence (AI) is transforming the medical sector by enhancing diagnosis accuracy, improving treatment outcomes, optimizing healthcare workflows and advancing medical research. Its ability to analyze complex data and assist healthcare professionals has the potential to revolutionize patient care and drive innovation in the field of medicine. Its ability to analyze the amounts of data, identify patterns and make predictions has significantly advanced these fields, leading to improved healthcare outcomes and fostering new avenues for medical research and development. In this review, various applications of AI techniques in healthcare, such as drug design, disease diagnosis, personalized treatment, gene editing and medical education. AI plays a crucial role in disease diagnosis by analyzing medical images, genomic data and patient records, were discussed. AI is transforming medical education by providing personalized and interactive learning experiences. AI algorithms can efficiently analyze large genomic datasets, identifying potential target genes and predicting the outcomes of genetic modifications.
Keywords:
Artificial Intelligence; In silico studies; AI applications; Drug design; Disease diagnosis; Drug screening
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0