Qing Sun on Muck Rack

Qing Sun

  • Clinical Lab Manager, Histology Laboratory at Brigham and Women's Hospital
As seen in: Nature, Wiley Online Library, New Phytologist, PLOS ONE, ScienceDirect, Annals of the Rheumatic Diseases, Frontiers, IEEE, MDPI, ACS Publications and
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Articles

A unified vision-language model for precision oncology and biomarker prediction in neuroblastoma

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By Jin Zhu, Ruizhen Hu, Qing Sun, Zhenzhen Zhao, Juan Carlos Cao, Kun Wang, Liyan Cui, Hongping Tang, Qianqian Fang, Sijin Jiang, Wenjian Zhang, Jiajun Xie, Shuo Kang, Dongyuan Xiao, Ming Xiao, Xuan Zhai, Yuntao Jia, Junyang Chen, Wei Yuan, Xiao Han, Le Lu, Junhan Zhao, Xiyue Wang, Yi Li, Jinxi Xiang, Biyue Zhu, Peiying Pan
| Nature Verified
Abstract Neuroblastoma is a leading cause of childhood cancer mortality, presenting persistent management challenges due to its biological heterogeneity and the limited accessibility of molecular profiling in routine practice. Here we present NEVA (NEuroblastoma Vision–language AI), a multimodal foundation model designed to address these barriers.
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Molecular Design of a Low-Odor Xanthate Surfactant: Synergistic π–π Stacking and Oriented Adsorption Assembly for Efficient Flotation of Chalcopyrite Click to copy article link Article link copied!

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By Qing Sun, Shuai Wang, Dongtao Tang
| ACS Publications
Cite Jump to ExpandCollapse SeparationsJune 29, 2026 Molecular Design of a Low-Odor Xanthate Surfactant: Synergistic π–π Stacking and Oriented Adsorption Assembly for Efficient Flotation of Chalcopyrite Click to copy article linkArticle link copied! Dongtao Tang Dongtao Tang College of Chemistry and Chemical Engineering, and Hunan Provincial Key Laboratory of Efficient and Clean Utilization of Manganese Resources, Central South University, Changsha 410083, China Qing Sun Qing Sun National &...
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A hybrid pythagorean fuzzy decision-making model for evaluating corporate environmental behavior through social responsibility dimensions

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By Qing Sun
| Nature Verified
Abstract The assessment of the corporate environmental conduct in the context of social responsibility is a complex decision-making (DM) problem because of the contradictory evaluation criteria, qualitative judgments, and enormous uncertainties in the professional evaluation. The current methods of assessment do not capture expert hesitation well as well as fail to give balanced and transparent ranking of corporate environmental performance.
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