Artificial Intelligence in Drug Discovery: Accelerating Pharmaceutical Innovation

Abstract

The integration of Artificial Intelligence (AI) in drug discovery is revolutionizing pharmaceutical research by reducing time and costs associated with new drug development. This paper explores AI-driven techniques such as deep learning, molecular modeling, and generative algorithms to identify potential drug candidates. We analyze the impact of AI on precision medicine, clinical trials, and biomarker discovery. Challenges such as data bias, regulatory compliance, and interpretability of AI models are also discussed. The study concludes that AI has the potential to transform drug discovery, leading to faster and more effective treatments for various diseases.