AI and Machine Learning in Revolutionizing Drug Discovery and Development

Abstract

The integration of artificial intelligence (AI) and machine learning (ML) into drug discovery and development represents a transformative shift in pharmaceutical research. This paper explores the current applications, challenges, and future prospects of AI and ML in streamlining the drug development pipeline. We discuss how these technologies enhance predictive analytics, optimize experimental design, and accelerate the identification of potential drug candidates, ultimately reducing time and costs associated with drug development. Case studies and recent advancements are highlighted to illustrate the tangible benefits and ongoing challenges in this rapidly evolving field.