Applications of artificial intelligence in drug discovery and pharmacy practice: a review
| bracu.degree.level | Undergraduate | |
| bracu.type.group | Student Works | |
| datacite.rights | Open Access | |
| dc.contributor.advisor | Raj, Asef | |
| dc.contributor.author | Hasan, Mehedi | |
| dc.contributor.department | School of Pharmacy | |
| dc.date.accessioned | 2025-05-04T04:52:53Z | |
| dc.date.available | 2025-05-04T04:52:53Z | |
| dc.date.copyright | 2024 | |
| dc.date.issued | 2024-09 | |
| dc.description | Cataloged from PDF version of thesis. | |
| dc.description | Includes bibliographical references (pages 48-62). | |
| dc.description | This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2024. | en_US |
| dc.description.abstract | Artificial 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.degree | Bachelor of Pharmacy | |
| dc.description.statementofresponsibility | Mehedi Hasan | |
| dc.description.statementofresponsibility | Asef Raj | |
| dc.identifier.other | ID 18346075 | |
| dc.identifier.uri | http://hdl.handle.net/10361/25853 | |
| dc.language.iso | en | en_US |
| dc.publisher | BRAC University | en_US |
| dc.rights | BRAC 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.subject | Artificial Intelligence | en_US |
| dc.subject | Machine learning | en_US |
| dc.subject | Drug discovery | en_US |
| dc.subject | Digital therapy | en_US |
| dc.subject | Pharmacokinetics | en_US |
| dc.subject | Pharmacy practice | en_US |
| dc.subject | Pharmacodynamics | en_US |
| dc.subject.lcsh | Artificial Intelligence. | |
| dc.subject.lcsh | Machine learning. | |
| dc.subject.lcsh | Drug development. | |
| dc.subject.lcsh | Pharmacokinetics. | |
| dc.subject.lcsh | Drug therapy. | |
| dc.subject.lcsh | Pharmacology. | |
| dc.title | Applications of artificial intelligence in drug discovery and pharmacy practice: a review | en_US |
| dc.type | Thesis |