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Ying Chen on Muck Rack

Ying Chen

As seen in: Arthritis & Rheumatology, Color Research & Application, Nature, Wiley, Wiley Online Library, International Journal of Nursing Studies, New Phytologist, PLOS, PLOS ONE, BMJ Open and
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Articles

Correction: Anti-PDGFRα autoantibody – a novel diagnostic and prognostic marker – may mediate non-small cell lung cancer progression via the PI3K/AKT/NF-κB signaling pathway

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By Fengqi Chen, Ying Chen, Wenke Sun, Hanke Ma, Yihao Liang, Yutong Li, Jing Li, Xiaobin Cao, Songyun Ouyang, Liping Dai
| Nature Verified
Correction to: British Journal of Cancer; https://doi.org/10.1038/s41416-026-03501-2, Article published online 27 June 2026. In this article, discrepancies between the online and PDF versions were identified following publication; specifically, the image file processing of Figure 3 introduced unreadable labels following an error in font conversion. The labels, as provided by the authors and present within the online version of the article, are now correctly used.
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SlideChat is a multimodal generative artificial intelligence assistant for whole-slide computational pathology across cancer types

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By Ying Chen, Chenglong Ma, Qiongqiong Li, FANG YAN, Yirong Chen, Tianbin Li, Jin Ye, Ming Hu, Yuxiang Lin, Yanjun Li, Guoan Wang, Huihui Xu, Hui Dong, Xiang Wang, Xiaoxiao Xu, Yanyan Zhou, Xia Zhu, Xiyue Wang, Lu Zhang, Yu Qiao, Rongshan Yu, Junjun He, Yuanfeng Ji
| Nature Verified
Abstract Multimodal artificial intelligence, albeit showing great potential in computational pathology, remains limited to isolated patch-level interpretation and often fails to analyze gigapixel-scale whole-slide images (WSIs) essential for clinical utility. Here we present SlideChat, a multimodal generative artificial intelligence assistant for whole-slide computational pathology across cancer types.
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Multi-Layer Composition-Graded Electron Blocking Layer to Improve Performance in AlGaN-Based Ultraviolet Light-Emitting Diodes

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By Jingru Feng, Ying Chen, Wei Zhong
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. References 1, , , and , “n+/p+ GaN and n+/p+ Al0.10Ga0.90N Tunnel Junctions: A Promising Alternative for Hole Injection in Deep Ultraviolet Light-Emitting Diodes,” Journal of Information Display 26 (2025): 149–155, https://doi.org/10.1080/15980316.2024.2412104. 2, , , , , and .
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