6 Papers
Gen Li is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Self-healing hydrogels & Cell. The author has an hindex of 2, co-authored 6 publications.
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Papers
Capturing Magnesium Ions via Microfluidic Hydrogel Microspheres for Promoting Cancellous Bone Regeneration.
Zhenyu Zhao,Zhenyu Zhao,Gen Li,Huitong Ruan,Keyi Chen,Zhengwei Cai,Guanghua Lu,Runmin Li,Lianfu Deng,Ming Cai,Wenguo Cui +10 more
TL;DR: Wang et al. as mentioned in this paper utilized the coordination reaction of metal ion ligand to construct a bisphosphonate-functionalized injectable hydrogel microsphere (GelMA-BP-Mg) which could promote cancellous bone reconstruction of osteoporotic bone defect via capturing Mg2+.
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Injectable Microfluidic Hydrogel Microspheres for Cell and Drug Delivery
Zhenyu Zhao,Zhenyu Zhao,Zhen Wang,Gen Li,Zhengwei Cai,Jiezhou Wu,Lei Wang,Lianfu Deng,Ming Cai,Wenguo Cui +9 more
TL;DR: This review begins with a discussion of microfluidic hydrogel microspheres and then introduces the preparation equipment, main principles, and related characteristics of the micro Spheres.
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Gradient bimetallic ion-based hydrogels for tissue microstructure reconstruction of tendon-to-bone insertion.
Renhao Yang,Gen Li,Chengyu Zhuang,Pei Yu,Tingjun Ye,Yin Zhang,Peiyang Shang,Jingjing Huang,Ming Cai,Lei Wang,Wenguo Cui,Lianfu Deng +11 more
TL;DR: In this article, a gradient bimetallic ion-based hydrogel was constructed via the one-step coordinative crosslinking of sulfhydryl groups with copper and zinc ions for the microstructure reconstruction of the tendon-to-bone insertion.
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Stem cell-laden injectable hydrogel microspheres for cancellous bone regeneration
TL;DR: The results show that hydrogel microspheres generated by the microfluidics synchronous cross-linked technology are stable and biocompatible, and have strong regenerative potential when loaded with stem cells.
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Revising the modified Neer classification for distal clavicle fractures: description and reliability
TL;DR: In this paper, the modified Neer classification was revised to make it more suitable for treatment decision-making, and the results demonstrated a near-perfect intraobserver and substantial interobserver agreement of the revised new classification.