Artificial Intelligence, Machine Learning, and the Revival of Big Data in Pharmaceutical Sciences

The integration of Artificial Intelligence (AI), Machine Learning (ML), and Big Data is transitioning the pharmaceutical industry, specifically in drug discovery, process optimization, and clinical development. This revolution enhances drug target identification through advanced data analytics, empowering the discovery of novel biomarkers and compounds. AI-driven high-throughput and virtual screening methods accelerate the identification of promising drug candidates, while predictive modeling improves the accuracy of drug efficacy predictions. In manufacturing, AI optimizes supply chain management and quality control through real-time monitoring and predictive maintenance, ensuring efficient production processes.