Paper Title
APPLICATION OF AI IN PHARMACY: A REVIEW
Article Identifiers
Authors
Lukman Abdulrouf Mulla , Bhosale Rohit Raju , Tashif Zakiruddin Shaikh
Keywords
Artificial Intelligence, Drug Discovery, Personalized Medicine, Inventory Management, COVID -19, Support Vector Medicines (SVM)
Abstract
Abstract: The industrial landscape, particularly the pharmaceutical industry, is being quickly transformed by artificial intelligence (AI). AI is being used more and more in the pharmaceutical sector to automate, improve, and personalize processes ranging from medication administration to drug development. This article will look at the applications of AI in inventory management, personalized medicine, drug safety and quality control, and patient counseling. For drug development, polypharmacology and hospital pharmacy, as well as drug discovery research. The goal of AI is to create intelligent modeling that aids in problem solving, knowledge visualization, and decision making. Software, computer programs, and automation have all been created to help and expedite healthcare procedures. AI has stimulated computer-aided drug discovery. AI has the potential to significantly improve medication management and patient care. This review explores various AI applications and future approaches in the field of pharmacy practice.
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How To Cite (APA)
Lukman Abdulrouf Mulla, Bhosale Rohit Raju, & Tashif Zakiruddin Shaikh (July-2024). APPLICATION OF AI IN PHARMACY: A REVIEW. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(7), e230-e235. https://ijnrd.org/papers/IJNRD2407387.pdf
Issue
Volume 9 Issue 7, July-2024
Pages : e230-e235
Other Publication Details
Paper Reg. ID: IJNRD_225669
Published Paper Id: IJNRD2407387
Downloads: 000121988
Research Area: Pharmacy
Country: AHMEDNAGAR, MAHARASHTRA, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2407387.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2407387
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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