Harnessing Big Data and Artificial Intelligence for Pharmacovigilance in Precision Medicine

Pharmacovigilance PV is essential for monitoring the safety and efficacy of medications, ensuring public health protection. With the advent of precision medicine, which tailors treatments to individual patient characteristics, the complexity of PV has increased, necessitating advanced methodologies. Harnessing big data and artificial intelligence AI offers transformative potential for enhancing PV in precision medicine. Big data, encompassing diverse sources such as electronic health records EHRs , genomic data, and social media, provides a comprehensive view of drug effects across varied populations. AI techniques, including machine learning ML and natural language processing NLP , enable the efficient processing and analysis of this vast and complex data, facilitating early detection of adverse drug reactions ADRs , prediction of drug interactions, and personalized risk assessment. This review explores the current state and potential of big data and AI in PV, highlighting their applications, benefits, and challenges. Key topics include the integration of heterogeneous data sources, development of predictive models, real time monitoring, and ethical considerations. The review concludes with recommendations for future research and practice to fully leverage these technologies in achieving safer and more effective pharmacotherapy in the era of precision medicine. Mahaboob Begum | Syed Abdul Khadeer Ali | Mohammad Afreed | N. Teja | Kotagiri Rishitha "Harnessing Big Data and Artificial Intelligence for Pharmacovigilance in Precision Medicine" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-4 , August 2024, URL: https://www.ijtsrd.com/papers/ijtsrd67204.pdf Paper Url: https://www.ijtsrd.com/pharmacy/other/67204/harnessing-big-data-and-artificial-intelligence-for-pharmacovigilance-in-precision-medicine/mahaboob-begum