Progress of AI assisted synthesis of polysaccharides-based hydrogel and their applications in biomedical field.

Journal: International journal of biological macromolecules
PMID:

Abstract

Polymeric hydrogels, characterized by their highly hydrophilic three-dimensional network structures, boast exceptional physical and chemical properties alongside high biocompatibility and biodegradability. These attributes make them indispensable in various biomedical applications such as drug delivery, tissue engineering, wound dressings and sensor technologies. With the integration of artificial intelligence (AI), hydrogels are undergoing significant transformations in design, leveraging human-machine interaction, machine learning, neural networks, and 3D/4D printing technology. This article provides a concise yet comprehensive overview of polysaccharide-based hydrogels, exploring their intrinsic properties, functionalities, preparation techniques, and classifications, alongside their progress in biomedical research. Special emphasis is placed on AI-enhanced hydrogels, underscoring their transformative potential in redefining hydrogel performance and functionality. By integrating AI technologies, these intelligent hydrogels open unprecedented opportunities in precision medicine, adaptive biomaterials, and smart healthcare systems, highlighting promising directions for future research.

Authors

  • Fangyu Li
    Song are with Center for Cyber-Physical Systems, University of Georgia, Athens, GA 30602, USA.
  • Lu Gan
    Department of Radiology, Huainan Oriental Guangji Hospital, Huainan 232101, People's Republic of China.
  • Xurui Yang
    School of Life Science and Food Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu 223003, China.
  • Zhongbiao Tan
    School of Life Science and Food Engineering, Huaiyin Institute of Technology, Huai'an 223003, People's Republic of China.
  • Hao Shi
    College of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China.
  • Chenhuan Lai
    College of Chemical Engineering, Nanjing Forestry University, Nanjing, Jiangsu 210037, China. Electronic address: lch2014@njfu.edu.cn.
  • Daihui Zhang
    Institute of Chemical Industry of Forest Product, Chinese Academy of Forestry, Nanjing, Jiangsu 210042, China.