AI-Driven Drug Discovery: Accelerating the Path to New Therapeutics

Abstract

Artificial Intelligence is revolutionizing drug discovery by significantly reducing the time and cost associated with developing new therapeutics. This paper explores how AI models are utilized to predict drug-target interactions, optimize molecular structures, and repurpose existing drugs. Case studies on AI-driven breakthroughs in combating diseases such as COVID-19 and cancer are presented. The paper also addresses challenges, including data quality, model interpretability, and the integration of AI tools within traditional pharmaceutical workflows.