Application of artificial neural networks in the design of biomedical materials

Biomedical science is a scientific field that includes the intersection of multiple technologies, combining the theoretical methods of biology, medicine and engineering. Biomedical materials are now a branch of the body that studies materials that are adapted to the body’s functioning to ensure normal human activity. Because of its closely related to human activities, it has become an important research field in our time. Therefore, the purpose of this paper is to explore the application of artificial intelligence in the design of biological science materials. Therefore, in the case of using high-quality materials, the material design is improved and optimized by using artificial neural networks under the basis of adverse rejection reactions to the properties of raw materials. The experimental results show that artificial neural network can be better connected and reaction, which is beneficial to improve sensitivity and use emergency measures to deal with it.

Abstract licence: CC BY

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