Artificial Intelligence in Pharmacology Accelerating Drug Development and Personalization

Abstract

The integration of Artificial Intelligence (AI) into drug discovery processes has emerged as a transformative force in the pharmaceutical industry. This paper explores the current state of AI applications in drug discovery, including machine learning algorithms, data analytics, and computational models. We review key advancements, discuss challenges, and highlight case studies illustrating the impact of AI on accelerating drug development and reducing costs.