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

bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorRaj, Asef
dc.contributor.authorHasan, Mehedi
dc.contributor.departmentSchool of Pharmacy
dc.date.accessioned2025-05-04T04:52:53Z
dc.date.available2025-05-04T04:52:53Z
dc.date.copyright2024
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.en_US
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.en_US
dc.description.degreeBachelor of Pharmacy
dc.description.statementofresponsibilityMehedi Hasan
dc.description.statementofresponsibilityAsef Raj
dc.identifier.otherID 18346075
dc.identifier.urihttp://hdl.handle.net/10361/25853
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectArtificial Intelligenceen_US
dc.subjectMachine learningen_US
dc.subjectDrug discoveryen_US
dc.subjectDigital therapyen_US
dc.subjectPharmacokineticsen_US
dc.subjectPharmacy practiceen_US
dc.subjectPharmacodynamicsen_US
dc.subject.lcshArtificial Intelligence.
dc.subject.lcshMachine learning.
dc.subject.lcshDrug development.
dc.subject.lcshPharmacokinetics.
dc.subject.lcshDrug therapy.
dc.subject.lcshPharmacology.
dc.titleApplications of artificial intelligence in drug discovery and pharmacy practice: a reviewen_US
dc.typeThesis

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