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Trends in Machine design Review Article

AI-Driven Innovation in Biomaterials: Predictive Modeling and Design for the Future

  1. Prasanna Raut Department of Mechanical Engineering, Veermata Jijabai Technological Institute, Matunga
  2. Devakant Baviskar Department of Mechanical Engineering, Veermata Jijabai Technological Institute, Matunga

Abstract

The integration of artificial intelligence (AI) is revolutionizing the field of biomaterials, paving the way for innovative approaches in their development and production. This paper examines the connection between AI and biomaterials, emphasizing the substantial impact of predictive modeling on the evolution of the field. By examining recent research and cutting-edge uses, the document shows how AI-powered predictive modeling has revolutionized biomaterial design, marking a period of unparalleled precision and effectiveness. It discusses a range of AI technologies, including deep neural networks and machine learning, that enable the creation of predictive models using large datasets to anticipate the behavior, properties, and interactions of biomaterials. The document also discusses how AI can speed up the evaluation of possible materials, improve their attributes, and forecast their impacts in biological settings, thereby bridging the gap between lab findings and real-world applications. Furthermore, the document looks into what lies ahead and the obstacles in combining AI and biomaterials, emphasizing the need for cross-disciplinary teamwork, standardization of data, and ethical considerations

Keywords

References (59)

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