AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response
Second Affiliated Hospital of Jilin University · Jilin University · +1 more institution
Abstract
Traditional approaches to biomaterial design face numerous challenges, including high trial-and-error costs, long development cycle, and the difficulty in deciphering the complex relationship between material properties and biological responses. With the rise of artificial intelligence (AI) technology, its capabilities in processing high-dimensional data and constructing complex mapping relationships have brought revolutionary changes to biomaterial design. This article reviews the four core applications of AI in the design of biomaterials. Firstly, based on the therapeutic needs of diseases, the functions of materials are clarified and formulations are generated. Secondly, high-throughput prediction and…
Citation impact
- FWCI
- 41.46
- Percentile
- 100%
- References
- 106
Authors
9Topics & keywords
- Biomaterial
- Biocompatible material
- Realization (probability)
- Closed loop
- Biological materials
- Face (sociological concept)
- Industry, innovation and infrastructure