Abstract

The integration of Artificial Intelligence (AI) in biomaterials research is revolutionizing the field by enhancing the discovery and innovation processes. This paper explores the application of AI methodologies—such as machine learning, data mining, and computational modeling—in the design, synthesis, and characterization of biomaterials. By analyzing large datasets, AI accelerates the identification of novel materials with tailored properties for medical, environmental, and industrial applications. The study highlights successful case studies where AI has facilitated breakthroughs in biocompatibility, biodegradability and functionality. Additionally, it discusses the challenges and future directions for AI integration in biomaterials research, emphasizing the need for interdisciplinary collaboration and ethical considerations in the deployment of these technologies.