Yingying Zhou
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Early prediction of severe Omicron pneumonia using a multimodal a.i. model integrating delta CT radiomics and laboratory indicators
Abstract Early identification of patients at risk of severe pneumonia during Omicron SARS-CoV-2 infection is critical for optimizing care and allocating resources. While clinical markers provide insights, imaging-derived radiomics features may enhance prognostic accuracy. We developed a multimodal predictive model combining Delta Radiomics features from serial chest CT scans with clinical data, including blood biochemical markers and lymphocyte subsets.
Data-driven subtypes of type 2 diabetes and risk of dementia, stroke, and brain structural changes in the UK Biobank
Research ArticleArticles in Press113311Open access Affiliations & Notes aDepartment of Data Science and Biostatistics, Julius Global Health, University Medical Centre Utrecht, Utrecht, the Netherlands bMunicipal Center for Disease Prevention and Control in Changsha, China cDepartment of Neurology, Brain Centre, University Medical Centre Utrecht, Utrecht, the Netherlands dDepartment of General Practice, Amsterdam University Medical Centre, Amsterdam, the Netherlands Article Info Publication...
GSK3β as a potential regulator in AML: A pan-cancer multi-omics analysis
Loading metrics Open Access Peer-reviewed Research Article Citation: Qiu R, Zhou Y, Song S, Wang Z (2026) GSK3β as a potential regulator in AML: A pan-cancer multi-omics analysis. PLoS One 21(3): e0344994. https://doi.org/10.1371/journal.pone.0344994 Editor: Zhanzhan Li, Xiangya Hospital Central South University, CHINA Received: September 29, 2025; Accepted: March 1, 2026; Published: March 31, 2026 Copyright: © 2026 Qiu et al.
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