Applications of artificial intelligence in drug discovery and pharmacy practice: a review

dc.contributor.advisorRaj, Asef
dc.contributor.authorHasan, Mehedi
dc.date.accessioned2025-05-04T04:52:53Z
dc.date.available2025-05-04T04:52:53Z
dc.date.issued2024-09
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 48-62).
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2024.
dc.description.abstractArtificial intelligence (AI) is revolutionizing the pharmaceutical industry, through enhancing drug discovery and improving pharmacy practice, presenting novel solutions for healthcare’s complex challenges. Reviewing everything from target identification to medication excipient and dose form prediction, the paper explains how artificial intelligence is revolutionizing the pharmaceutical industry. Artificial intelligence models have the potential to decrease animal testing by assisting in the identification of disease targets, enhancing virtual screening of drug candidates, and even supporting toxicity prediction and pharmacokinetics, AI is transforming pharmacy practice with applications in dose adjustment, adverse drug reaction monitoring, and patient compliance, thus personalizing and improving patient care. In pharmacy practice, AI enables dose optimization and adverse drug reaction detection as well as personalized medicine along with aiding in medication adherence and provision of tele-pharmacy services. Despite the wide range of benefits AI offers, algorithm bias, data privacy and regulatory questions are challenges that need to be faced for a proper adoption. Finally, the review compares its use in developed countries to expand applications in Bangladesh, underlining how AI can potentially improve efficiency and patient safety as well as outcomes on a global scale. Ultimately, the potential for AI to revolutionize pharmaceutical research, clinical practice and healthcare delivery is immense.
dc.identifier.otherID 18346075
dc.identifier.otherhttps://dspace.bracu.ac.bd/server/api/core/items/d7ffdf40-6ff5-4d88-a4c5-0afd6b46efa2
dc.identifier.urihttp://hdl.handle.net/10361/25853
dc.language.isoen
dc.publisherBRAC University
dc.sourceBRAC University Institutional Repository
dc.subjectArtificial Intelligence
dc.subjectMachine learning
dc.subjectDrug discovery
dc.subjectDigital therapy
dc.subjectPharmacokinetics
dc.subjectPharmacy practice
dc.subjectPharmacodynamics
dc.titleApplications of artificial intelligence in drug discovery and pharmacy practice: a review
dc.typeThesis

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