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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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Non-invasive PET imaging of EGFR degradation induced by a heat shock protein 90 inhibitor.

TL;DR: The early response to anti-Hsp90 therapy was successfully monitored by quantitative PET using 64Cu-DOTA–cetuximab, which indicates that this approach may be valuable in monitoring the therapeutic response to Hsp90 inhibitor 17-AAG in EGFR-positive cancer patients.
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Cascaded Multiresponsive Self-Assembled 19F MRI Nanoprobes with Redox-Triggered Activation and NIR-Induced Amplification.

TL;DR: A cascaded multiresponsive self-assembled nanoprobe is reported, which enables sequential redox-triggered and near infrared (NIR) irradiation-induced 19F MR signal activation/amplification for sensing and imaging.
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Emerging Advances in Nanotheranostics with Intelligent Bioresponsive Systems.

TL;DR: Intelligent nanotheranostics based on bioresponsive systems have recently emerged and offer the promise of high specificity and efficiency via “on-demand” activation of both therapeutic and diagnostic capabilities.
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Characterizing breast cancer xenograft epidermal growth factor receptor expression by using near-infrared optical imaging.

TL;DR: In vivo NIR imaging results indicated specific uptake in EGFR-positive tumors, and Erbitux-Cy5.5 may be used as a specific NIR contrast agent for the noninvasive characterization of EGFR expression level in breast cancer xenografts.
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The Synthesis of 18F-FDS and Its Potential Application in Molecular Imaging

TL;DR: 18F-FDS may have potential applications in certain cases where FDG is inadequate (e.g., brain tumor) and its possible application in lesion detection around brain area is described.