Advanced AI Applications for Drug Discovery

Abstract

Addressing the critical challenge of lengthy and costly drug development, this chapter illuminates the transformative role of advanced artificial intelligence (AI) in drug discovery. It aims to dissect the impact of AI methodologies in streamlining these traditionally complex processes. This chapter begins by highlighting the inefficiencies of conventional drug discovery methods, emphasizing their resource-intensive nature. An in-depth discussion of how AI technologies are revolutionizing the identification of novel drug targets, optimizing the molecular structures of drug candidates, and accurately predicting drug efficacy and toxicity is needed. This exploration underscores AI's dual advantages: significantly reducing drug development timelines and expenses while simultaneously enhancing the precision of predictions, leading to safer and more effective drugs. This chapter concludes with a vision of a future where AI-driven methods are fully integrated with personalized medicine and genomics, signaling the onset of a new era in healthcare and therapeutic innovation.