Bin Xu on Muck Rack

Bin Xu

Verified
Beijing
As seen in: Water Reuse, Color Research & Application, Nature, Wiley, Wiley Online Library, Memory Studies, PLOS ONE, ScienceDirect, Frontiers, Journal of Clinical Pathology, MDPI and
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Articles

Impact of Parakinesia brachialis oscitans on limb functional recovery after stroke: a cohort study

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By Congcong Wang, Hua Hu, Runying Wang, Bin Xu , Jia Du, Zhou Su, Shuangxi Guo, Jingkai Wang, Xiaojun Tian
| Frontiers
Abstract Background: Parakinesia brachialis oscitans (PBO), involuntary elevation of the paralyzed upper limb during yawning is a rare phenomenon after ischemic stroke, but its prognostic significance remains unclear due to limited systematic studies. Objective: To compare 3-month motor recovery between ischemic stroke patients with PBO, without PBO, and with spontaneously resolved PBO using a propensity score-matched design.
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Development and field evaluation of a rapid detection method for Babesia microti using fluorescent recombinase polymerase amplification(RPA) technology

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By Yuchun Cai, Bin Zheng, Bin Xu , Wei Hu, Kun Qiang, Chenghang Yu, Ziran Mo
| Nature
Abstract The frequent occurrences of Babesia microti (B. microti) infection have emerged as a significant global public health safety concern. The diagnosis of patients constitutes a crucial component in the prevention and control of babesiosis, necessitating the urgent establishment of efficient and accurate molecular biology diagnostic methods for B. microti detection.
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Integrating multimodal clinical data with a large model for prostate cancer diagnosis

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By Chengbang Wang, Yuan Tian, Shaojie Yin, Xuhong Zhang, Xuedong Wei, Lingfeng Wu, Zhengdong Zhou, Guijian Pang, Yan Wang, Wangjian Wu, Ziwei Wang, Jiangnan Xu, Minglun Li, Zhankui Jia, Xu Gao, Fubo Wang, Guangtao Zhai, Bin Xu , Shukai Zhao
| Nature
Abstract Accurate prostate cancer (PCa) diagnosis remains difficult because of tumor heterogeneity and the challenge of integrating multimodal clinical information. We developed Prost-LM, a multimodal large language model that jointly embeds MRI-derived features, numerical PSA values, and free-text clinical reports into a unified semantic space to enable deep cross-modal reasoning.
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