ABSTRACT

Pharma 4.0 is a new age in the pharmaceutical industry in which Artificial Intelligence (AI) and Big Data (BD) are altering drug discovery, clinical trials, and patient care. The pharmaceutical business is paying close attention to the complete pharmaceutical value chain is being digitally transformed, starting with research and development (R&D) through manufacturing, patient care, sales and marketing, and supply chain management. We concentrated on recent data-driven research developments in domains where AI might effectively reduce costs. Despite pharma's AI expenditures remaining modest, rising funding the cost of AI programs are positive in the big data era. This article will discuss the following topics: ? an overview of Artificial Intelligence, its subtypes and Big Data; ? the impact of AI and big data in several sectors such as preclinical studies, drug discovery, drug design, clinical trials, pharmacovigilance, chemoinformatics, various diseases, personalized medicines, drug delivery systems and pharma product marketing; ? numerous AI and big data technologies and software implemented in the pharma industry;and the challenges and opportunities of implementing AI and big data in the pharmaceutical industry, including regulatory issues, data privacy, and ethical concerns. This review article will give some understanding of the current situation of Pharma 4.0 and the potential role of AI and big data in revolutionizing the pharmaceutical sector. This also throws a brief outline of current advances in pharmaceutical firms through collaboration with various AI tech companies. Keywords Artificial intelligence, Big data, Pharma industry, Digitization
Publication date: 15/10/2023

https://ijbpas.com/pdf/2023/October/MS_IJBPAS_2023_OCTOBER_SPCL_1018.pdf

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https://doi.org/10.31032/IJBPAS/2023/12.10.1018