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Xiaoyuan Chen

Researcher at National University of Singapore

Publications -  1270
Citations -  115993

Xiaoyuan Chen is an academic researcher from National University of Singapore. The author has contributed to research in topics: Photothermal therapy & Medicine. The author has an hindex of 149, co-authored 994 publications receiving 89870 citations. Previous affiliations of Xiaoyuan Chen include Brown University & University of Southern California.

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Biomimetic Yolk-Shell Nanocatalysts for Activatable Dual-Modal-Image-Guided Triple-Augmented Chemodynamic Therapy of Cancer.

TL;DR: A cancer cell membrane (CM)-camouflaged Au nanorod core/mesoporous MnO2 shell yolk-shell nanocatalyst embedded with glucose oxidase (GOD) and Dox (denoted as AMGDC) is constructed for synergistic triple-augmented CDT and chemotherapy of tumor under MRI/PAI guidance as mentioned in this paper .
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Antiangiogenesis Combined with Inhibition of the Hypoxia Pathway Facilitates Low-Dose, X-ray-Induced Photodynamic Therapy

TL;DR: In this paper, a low-dose X-ray-induced photodynamic therapy (XPDT) is realized by systematic optimization from scintillation efficiency, nanoplatform structure, to therapeutic approach.
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Drug ADME‐associated protein database as a resource for facilitating pharmacogenomics research

TL;DR: A database of drug ADME‐associated proteins serves as a resource for comprehensive information about proteins potentially responsible for pharmacogenetic effects of pharmacokinetic origin and its usefulness for facilitating pharmacogenomic research is discussed.
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[18F]-Alfatide PET imaging of integrin αvβ3 for the non-invasive quantification of liver fibrosis.

TL;DR: Comparing differences in uptake of the [18F]-Alfatide between normal and injured liver to evaluate its utility for assessment of hepatic fibrogenesis offers a potential noninvasive method for monitoring the progression of liver fibrosis.
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Targeted nanoprobes reveal early time point kinetics in vivo by time-resolved MRI.

TL;DR: This commentary highlights the findings that dynamic T2*-weighted magnetic resonance imaging of cyclic RGD peptide-encoded superparamagnetic polymeric micelle nanoparticles allows quantitative analysis of tumor integrin αvβ3 expression, which can exclude the effect of blood volume and extravascular signal components and thus provide less biased tumor contrast and receptor specificity of probes.