Big Data Analytics in the Pharmaceutical Indu...

Big Data Analytics in the Pharmaceutical Industry

Author Name : Shanavaz Mohammed, Mudassir Khaja Fareed Mohammed, Ayesha Farooqui

DOI: https://doi.org/10.56025/IJARESM.2024.120924012

ABSTRACT The pharmaceutical industry is critical in modern healthcare, focusing on the discovery, development, and delivery of medications. However, it faces significant challenges, such as the high costs of clinical research, long development timelines, and high failure rates of drugs. The advent of Big Data analytics in the 21st century has been transformative in addressing these issues, optimizing drug discovery, development, clinical trials, personalized medicine, pharmacovigilance, and commercial strategies. Big Data leverages advanced tools like predictive analytics, machine learning, and AI to enhance target identification, accelerate clinical trials, develop tailored therapies, and ensure drug safety. Nonetheless, challenges such as data privacy, security, interoperability, cost, and quality management persist, requiring careful navigation to fully harness Big Data's potential in pharmaceuticals. This essay explores the multifaceted applications of Big Data analytics in the pharmaceutical industry and discusses the challenges and limitations of its implementation.