Next-Gen Drug Discovery: How Artificial Intelligence is Shaping the Future of Healthcare

Abstract

Drug discovery has long been a complex, expensive, and high-stakes endeavor, with timelines stretching over a decade and costs exceeding billions. The rise of Artificial Intelligence (AI) is now challenging these paradigms. By augmenting human intelligence with computational precision, AI is accelerating the identification of drug targets, optimizing molecular design, and unlocking new potential through drug repurposing. This paper explores how AI is revolutionizing the drug development pipeline—from lab to patient—through deep learning, natural language processing (NLP), and generative models. We present cutting-edge applications, real-world case studies, and a roadmap for overcoming challenges that hinder widespread AI integration in pharma. With insights into the ethical and technical considerations, we argue that AI isn't just an aid—it is a cornerstone of the future of drug discovery.