Role of Big Data in Drug Discovery and Development
Big data is transforming drug discovery and development by accelerating research, enhancing clinical trial design, and improving safety monitoring.
Pharmaceutical companies analyze large datasets from genomics, proteomics, and patient records to identify novel drug targets and biomarkers. This data-driven approach reduces the time and cost associated with traditional trial-and-error methods.
Real-world evidence collected from electronic health records and wearable devices informs drug efficacy and adverse event profiles, supporting regulatory submissions and post-market surveillance.
Advanced analytics and AI enable simulation of drug interactions and optimize clinical trial recruitment by identifying suitable patient populations.
These capabilities help reduce late-stage trial failures and improve personalized medicine approaches.
While big data accelerates innovation, challenges include data standardization, integration of heterogeneous datasets, and regulatory acceptance of novel evidence sources.
Overall, big data is a cornerstone of next-generation drug development, promising safer and more effective therapeutics.