The Role of AI and ML in Drug Discovery and Development

Abstract

The integration of artificial intelligence (AI) and machine learning (ML) technologies into the field of drug discovery and development represents a transformative shift with the potential to accelerate therapeutic innovations and streamline pharmaceutical research. This paper explores various case studies where AI and ML have been successfully applied to identify novel drug candidates, predict molecular behavior, and optimize clinical trials. Diseases such as Alzheimer's, cancer, and rare genetic disorders have been at the forefront of benefiting from these advanced computational approaches. By harnessing the power of AI and ML, researchers can predict drug interactions more accurately, enhance the drug's efficacy, and reduce the time and cost associated with bringing a drug to market. This paper invites readers to delve into detailed discussions on the current achievements, challenges, and prospects of AI and ML in revolutionizing the landscape of drug discovery and development, urging for increased research and investment in this promising field.