THE IMPACT OF BIG DATA ON PERSONALIZED MEDICINE IN PHARMA

Abstract

This article explores the transformative impact of Big Data on personalized medicine in the pharmaceutical industry. It traces the evolution from traditional "one-size-fits-all" approaches to tailored treatments, highlighting the role of advanced technologies in analyzing vast amounts of patient data. Integrating genomic information, electronic health records, and real-time health monitoring devices has enabled more precise diagnoses and targeted therapies. The article discusses applications in key therapeutic areas, such as oncology and chronic diseases, where Big Data has significantly improved patient outcomes. While acknowledging the immense potential, the article addresses challenges including data privacy, integration complexities, and ethical considerations. Looking to the future, it examines how advancements in AI, machine learning, and collaborative efforts between various stakeholders are poised to revolutionize healthcare delivery, promising a new era of efficient, effective, and highly personalized medical care.