Abstract

Artificial intelligence (AI) has emerged as a transformative force in the field of drug discovery, revolutionizing traditional approaches and expediting the development of novel therapeutics. This abstract explores the pivotal role of AI in various stages of drug discovery, including target identification, compound design, virtual screening, predictive toxicology, clinical trial optimization, and drug repurposing. By harnessing the power of machine learning algorithms and big data analytics, AI enables researchers to navigate complex biological systems, identify promising drug targets, design optimized compounds, and accelerate clinical trials. Moreover, AI facilitates the repurposing of existing drugs for new indications, offering a cost-effective and time-efficient strategy for addressing unmet medical needs. The integration of AI into drug discovery processes holds immense promise for advancing healthcare, improving patient outcomes, and ushering in a new era of precision medicine.