The Impact of Artificial Intelligence on Drug Discovery

Conventional drug discovery is an expensive and time-consuming process that can take up to ten years and cost billions of dollars.This review looks at how artificial intelligence (AI) is transforming this industry and how it can change things.Artificial Intelligence (AI) technologies, including robotics, deep learning, natural language processing, machine learning, and big data analytics, are revolutionizing drug discovery through improved virtual screening, lead optimization, target identification, drug design, and predictive toxicity.The paper illustrates how artificial intelligence (AI) speeds up the discovery process, lowers costs, and increases accuracy through a thorough examination of current developments and case studies, including AI-driven medication approvals and fruitful industrial partnerships.Nonetheless, there are still issues with data quality, model interpretability, integrating with current processes, and ethical and legal issues.Reaching the full potential of AI in drug discovery requires addressing these difficulties.This paper provides a detailed overview of AI's impact, emphasizing both its benefits and the challenges that must be overcome in order to effectively leverage its capabilities.It strives to enlighten and assist stakeholders in navigating the changing terrain of artificial intelligence in pharmaceutical research by offering insights into recent developments and potential future paths.