Xiefei Hu

3M-052 combined inhibitory anti-TNFR2 synergistically suppresses colon cancer progression

Qianyu Jing, Junqian Luo, Quan Wan, Qianjun Jing et autres

Introduction: Immunotherapy is considered the most promising approach for achieving complete tumor clearance in cancer treatment. However, monotherapy has demonstrated limited clinical efficacy, leading to a growing consensus that combination immunotherapy-activating the immune system through multiple pathways-appears to be the optimal strategy …

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Research on biomarkers screening for urinary tract infection and the prediction model based on machine learning algorithms

Shenshen Zhi, Haiping Fan, Wenyan Wu, Yuanyuan Zhang et autres

BACKGROUND: Urinary tract infections (UTIs) affect over 1.5 billion people annually, yet systematic screening of cytokine combinations as biomarkers remains limited. This study aims to analyze clinical data with the aid of machine learning algorithms, identify cytokines closely associated with UTIs in …

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Development of an early prediction model for risk of influenza A and influenza B based on complete blood count examination

Xiefei Hu, Chunmei Duan, Huajian Chen, Xun Li et autres

BACKGROUND: Influenza A (IAV) and B (IBV) viruses are the primary etiologic agents driving seasonal influenza epidemics and global pandemics. Early prediction plays a crucial role in epidemic control and reducing mortality rates. Complete blood count (CBC), a widely used clinical tool, …

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Development and application of an early prediction model for risk of bloodstream infection based on real-world study

Xiefei Hu, Shenshen Zhi, Li Yang, Haiping Fan et autres

BACKGROUND: Bloodstream Infection (BSI) is a severe systemic infectious disease that can lead to sepsis and Multiple Organ Dysfunction Syndrome (MODS), resulting in high mortality rates and posing a major public health burden globally. Early identification of BSI is crucial for effective …

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Development and Application of an Early Prediction Model for Risk of Bloodstream Infection based on Real-world Study

Xiefei Hu, Shenshen Zhi, Li Yang, Haiping Fan et autres

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The application of metagenomics, radiomics and machine learning for diagnosis of sepsis

Xiefei Hu, Shenshen Zhi, Wenyan Wu, Yang Tao et autres

Introduction Sepsis poses a serious threat to individual life and health. Early and accessible diagnosis and targeted treatment are crucial. This study aims to explore the relationship between microbes, metabolic pathways, and blood test indicators in sepsis patients and develop a machine …

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The first diagnosis of Severe Fever with Thrombocytopenia Syndrome caused by tick-borne Severe Fever with Thrombocytopenia Syndrome virus in Chongqing, China: A case report and literature review

Xiefei Hu, Wenyan Wu, Shenshen Zhi, Wenjuan Xu et autres

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An exploration on the machine-learning-based stroke prediction model

Shenshen Zhi, Xiefei Hu, Yan Ding, Huajian Chen et autres

Introduction: With the rapid development of artificial intelligence technology, machine learning algorithms have been widely applied at various stages of stroke diagnosis, treatment, and prognosis, demonstrating significant potential. A correlation between stroke and cytokine levels in the human body has recently been …

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A study on urinary tract infections based on a chemotactic microfluidic device

Xun LI, Yuanyuan Zhang, Xiefei Hu, Cui Nie et autres

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