Transforming Pharmaceutical Sciences: The Role of Artificial Intelligence in Drug Discovery, Clinical Pharmacy, Regulatory Affairs and Pharmacovigilance
Keywords:
Drug Discovery, Clinical Pharmacy, Regulatory Affairs, PharmacovigilanceAbstract
pharmacy, regulatory affairs, and pharmacovigilance. AI techniques such as deep learning, machine learning, and natural language processing accelerate drug candidate identification, optimize therapeutic drug monitoring, and predict
adverse drug reactions, improving patient safety and personalized medicine. Integration of AI with SAS programming enhances clinical trial data management, automation, and regulatory compliance. AI-powered regulatory tools
streamline document management and forecast review outcomes, facilitating faster approvals. Despite challenges like data quality, algorithm transparency, ethical concerns, and regulatory hurdles, responsible AI adoption promises
significant advancements in efficiency, precision, and global health outcomes. Emerging trends include multi-omics integration, generative AI for drug and protein design, digital twin simulations, collaborative open-science platforms,
and democratization of AI access. Together, these innovations are poised to reshape pharmaceutical research, development, and patient-centric care, promoting ethical governance and accelerating therapeutic innovation across the
drug lifecycle.
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