Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Reshma, S.; Rupani, Jigar; Lalitha, M.; Gowri, K.; Sambathkumar, M.; Suresh, M. Title A name given to the resource Innovative implementation, ethical challenges, and future prospects of artificial intelligence in pharmaceuticals Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Applications of Artificial Intelligence in Pharmaceuticals;pp.27-58 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-2043-4.ch002" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-2043-4.ch002</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105013943748?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013943748?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Reshma S., Department of Artificial Intelligence and Machine Learning, Dayananda Sagar College of Engineering, Bangalore, India; Rupani J., School of Business and Management, Christ University, Bangalore, India; Lalitha M., Department of Humanities and Sciences, CVR College of Engineering, Rangareddy, India; Gowri K., Department of Pharmacology, SRM College of Pharmacy, SRM Institute of Science and Technology, Chengalpattu, India; Sambathkumar M., Department of Mechanical Engineering, Kongu Engineering College, Erode, India; Suresh M., KPR Institute of Engineering and Technology IT, Kovai, India Description An account of the resource Incorporation of pharmaceutical industry and artificial intelligence (AI) is revolu-tionizing patient care, drug development, and discovery. Drug interactions have been predicted using machine learning techniques, optimal molecular structures have been designed, and clinical trial lengths have been reduced. Ethical problems including violations of data privacy, biassed algorithms, and unequal access to AI-informed treatments have been highlighted in the face of these technologies Reacting to these problems, regulatory models have been debated and passed. It is well known that artificial intelligence can drive therapeutic developments and customize medicine. One expects continuous innovations in artificial intelligence technologies to change the pharmaceutical industry. Ethical standards must be reinforced and openness kept if artificial intelligence is to be fully embraced. Innovation must guide newly developing projects. 2026 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833732045-8; 979-833732043-4; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online