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Chenxi Xu

As seen in: AIChE Journal, Nature, Wiley Online Library, Frontiers, MDPI, Omega, Taylor & Francis Online, ACS Publications, Royal Society of Chemistry, BioRxiv and
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Articles

Unlocking Thermally Enhanced NIR-II Luminescence in Er 3+ via Integer Phonon-Matching for High-Sensitivity Ratiometric Thermometry

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By Chenxi Xu, Kejie Li, Jiaqi Zhao
| Wiley Online Library Verified
, , , , , and , “Unlocking Thermally Enhanced NIR-II Luminescence in Er3+ via Integer Phonon-Matching for High-Sensitivity Ratiometric Thermometry.” Laser & Photonics Reviews (2026): e71529. https://doi.org/10.1002/lpor.71529 Conflicts of Interest The authors declare no conflict of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request.
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TP53 mutations in triple-negative breast cancer cells confer sensitivity to ASCT2 inhibition via arginine uptake

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By Xiaodan Lyu, Yuancheng Wei, Ziyi Chen, Jia Wang, Yi Han, Chenxi Xu, Haolin Hu, Zizhang Zhou, Shengtao Yuan, Mei Yang, Li Sun, Qianlin Zou
| Nature Verified
Abstract Targeting dysregulated glutamine metabolism via ASCT2 inhibition has therapeutic potential in cancer, but its clinical translation is hindered by tumor metabolic heterogeneity and the lack of predictive biomarkers. This study aims to define genetic determinants of ASCT2 inhibitor sensitivity and uncover compensatory resistance mechanisms to enable precision therapeutic strategies.
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Automated diagnosis of Sturge–Weber syndrome by detecting leptomeningeal angiomatosis from MRI using a multi-task deep learning framework

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By Jing Wu, Xindan Hu, Chenxi Xu, Chenghao Xue, Ruisheng Su, Yumei Yan, Ruolin Hou, Weiqun Bao, Tao Tan, Xiaoqiang Wang, Dake He, Lin Xu
| Frontiers
Abstract Objectives: Sturge–Weber Syndrome (SWS) is a rare neurocutaneous disorder requiring early and accurate diagnosis. This study aims to develop a deep learning framework for automatic diagnosis of SWS by detecting leptomeningeal angiomatosis (LA) in brain magnetic resonance images (MRI). Methods: This retrospective study includes 40 SWS patients and 101 healthy controls. T1-weighted MRI were collected over 15 years with different scanners.
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