stdClass Object
(
    [id] => 17418
    [paper_index] => 202508-01-023776
    [title] => APPLICATION AND MERITS OF ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL SCIENCE AND INDUSTRY
    [description] => 
    [author] => A. Omprakash, R. Radhakrishnan , Thillai Vaani Iyyanar , Deshika Karunanithi, Senthil Kumar Krishnan, Kannabirran Vaikundam 
    [googlescholar] => 
    [doi] => 
    [year] => 2025
    [month] => August
    [volume] => 11
    [issue] => 8
    [file] => fm/jpanel/upload/2025/August/202508-01-023776.pdf
    [abstract] => Artificial Intelligence (AI) has revolutionized the pharmaceutical industry by enhancing drug discovery, clinical trials, personalized medicine, and regulatory compliance. AIdriven technologies such as machine learning (ML), deep learning (DL), and natural language processing (NLP) accelerate research, reduce costs, and improve patient outcomes. This review explores the applications of AI in drug development, clinical research, pharmacovigilance, and manufacturing, along with its advantages, challenges, and future prospects. 
    [keywords] => Artificial Intelligence, Machine Learning, Drug Discovery, Clinical Trials, Personalized Medicine, Pharmacovigilance 
    [doj] => 2025-08-27
    [hit] => 
    [status] => 
    [award_status] => P
    [orderr] => 100
    [journal_id] => 1
    [googlesearch_link] => 
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Multidisciplinary Research (IJMR)
    [short_code] => IJMR
    [eissn] =>  2455-3662 (Online)
    [pissn] => - --
    [home_page_wrapper] => images/products_image/11.IJMR.png
)
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