A
Ali Khademhosseini
Researcher at University of California, Los Angeles
Publications - 947
Citations - 97152
Ali Khademhosseini is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Self-healing hydrogels & Tissue engineering. The author has an hindex of 140, co-authored 887 publications receiving 76430 citations. Previous affiliations of Ali Khademhosseini include King Abdulaziz University & Mayo Clinic.
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Emerging Trends in Biomaterials Research
TL;DR: This special issue focuses on emerging trends in biomaterials ranging from the nanoscale to the macroscale, for a wide range of biomedical applications, including therapeutic delivery, immunotherapy, bioimaging, and regenerative engineering.
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Preparation of Poly(ether-ether-ketone)/Nanohydroxyapatite Composites with Improved Mechanical Performance and Biointerfacial Affinity.
Xunzhi Yu,Shun Yao,Chang Chen,Jin Wang,Yaomin Li,Youfa Wang,Ali Khademhosseini,Jiangling Wan,Qingzhi Wu +8 more
TL;DR: Studies in vivo demonstrate that, compared to the pure PEEK, PEEK/nHA composites exhibit higher biointerfacial affinity, including the adhesion and encapsulation of muscle tissues on the surface of the implants and the suppression of inflammatory reaction around the implants.
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Bio-macromolecular design roadmap towards tough bioadhesives.
H. Montazerian,Elham Davoodi,Avijit Baidya,Maryam Badv,Reihaneh Haghniaz,Arash Dalili,Abbas S. Milani,Mina Hoorfar,Nasim Annabi,Ali Khademhosseini,Paul S. Weiss +10 more
TL;DR: In this paper , the authors provide a biomacromolecular design roadmap for the development of tough adhesive surgical sealants and discuss a library of materials and methods to introduce toughness and adhesion to biomaterials.
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Refractive Index Sensing for Measuring Single Cell Growth.
TL;DR: A plasmonic functional assay platform that can precisely measure cell weight and the dynamic change in real-time for adherent cells and determine growth rates of individual cells within only 10 min to map the growth profile of populations in short time intervals is introduced.