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Yiwei Li

Researcher at Huazhong University of Science and Technology

Publications -  63
Citations -  1469

Yiwei Li is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 15, co-authored 49 publications receiving 823 citations. Previous affiliations of Yiwei Li include South China University of Technology & Massachusetts Institute of Technology.

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Graphene-based nanomaterials for drug and/or gene delivery, bioimaging, and tissue engineering

TL;DR: The biomedical applications of graphene-based nanomaterials (GBNs) are discussed, including drug and/or gene delivery, bioimaging, and tissue engineering, and their unique properties related to their biomedical applications are discussed.
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Cell swelling, softening and invasion in a three-dimensional breast cancer model

TL;DR: Using a multicellular mammary cancer organoid model, a platform for probing the mechanics and migratory dynamics of a growing model breast cancer reveals that cells at the invasive edge are faster, softer and larger than those in the core.
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Designer Exosomes for Active Targeted Chemo-Photothermal Synergistic Tumor Therapy

TL;DR: The designer exosome combines the merits of both synthetic materials and the natural nanovesicles and gains multiple abilities for efficient tumor targeting, controlled release, and thermal therapy like synthetic nanocarriers.
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High stretchability, strength, and toughness of living cells enabled by hyperelastic vimentin intermediate filaments.

TL;DR: It is identified that cytoskeletal vimentin IFs (VIFs) provide cells with a hyperelastic rubber-like network that regulates the essential mechanical properties of mammalian cells including stretchability, strength, resilience, and toughness.
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Rapid Assembly of Heterogeneous 3D Cell Microenvironments in a Microgel Array.

TL;DR: Heterogeneous 3D cell microenvironment arrays are rapidly assembled by combining surface-wettability-guided assembly and microdroplet-array-based operations, which provides a cost-effective solution to meet the increasing demand of stem cell research, tissue engineering, and drug screening.