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Juexiao Zhou on Muck Rack

Juexiao Zhou

As seen in: Nature, Wiley Online Library, Science Magazine, BioRxiv, Cell Press
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Articles

Pushing the boundaries of autonomous biological discovery

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By Juexiao Zhou, Xiaonan He, Kai Kang, Xin Gao
| Nature Verified
A new AI framework autonomously explores single-cell RNA sequencing datasets and produces creative, biologically relevant findings.
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Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences - Nature Communications

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By Yuetan Chu, Gongning Luo, Longxi Zhou, Xianglin Meng, Juexiao Zhou, Changchun Yang, Gianluca Setti, Zhaowen Qiu, Xigang Xiao
| Nature Verified
Abstract Pulmonary artery-vein segmentation is critical for disease diagnosis and surgical planning. Traditional methods rely on Computed Tomography Pulmonary Angiography (CTPA), which requires contrast agents with potential health risks. Non-contrast CT, a safer and more widely available approach, however, has long been considered impossible for this task.
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AggNet: Advancing protein aggregation analysis through deep learning and protein language model

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By Wenjia He, Xiaopeng Xu, Haoyang Li, Juexiao Zhou
| Wiley Online Library Verified
CONFLICT OF INTEREST STATEMENT The authors declare no conflicts of interest. Supporting Information Filename Description pro70031-sup-0001-supinfo.pdfPDF document, 249.9 KB Data S1. Supporting Information. REFERENCES , , , , , , et al. Aggrescan4D: structure-informed analysis of pH-dependent protein aggregation. Nucleic Acids Res. 2024; 52(W1): W170–W175. https://doi.org/10.1093/nar/gkae382 , , , , . Design of therapeutic proteins with enhanced stability. Proc Natl Acad Sci. 2009; 106(29): 11937–11942.
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