AI-Powered Drug Discovery: Accelerating the Development of New Therapies

Kaggwa Anthony P.

Faculty of Science and Technology Kampala International University Uganda

ABSTRACT

The pharmaceutical industry is at a crossroads, with rising costs and longer development timelines posing significant challenges to the production of new drugs. AI-powered drug discovery emerges as a promising solution, leveraging artificial intelligence to expedite and optimize the drug discovery process. By applying machine learning and deep learning techniques, AI can analyze vast datasets, predict drug efficacy and safety, and even generate novel compounds, significantly reducing the time and cost involved in traditional drug development. This paper explores the role of AI in revolutionizing drug discovery, highlighting its applications in various stages of drug development, the challenges it faces, and its potential to transform the pharmaceutical landscape. Through case studies and analysis of recent advancements, this study underscores the importance of integrating AI in drug discovery to usher in an era of personalized medicine and more efficient therapeutic development.

Keywords: AI-powered drug discovery, Machine learning in pharmaceuticals, Deep learning in drug development, End-to-end drug discovery models, Personalized medicine.

CITATION: Kaggwa Anthony P. AI-Powered Drug Discovery: Accelerating the Development of New Therapies. Research Output Journal of Biological and Applied Science, 2024 3(2):9-12