Publications by authors named "Xiongjun Xu"

The batch effect is a nonbiological variation that arises from technical differences across different batches of data during the data generation process for acquisition-related reasons, such as collection of images at different sites or using different scanners. This phenomenon can affect the robustness and generalizability of computational pathology- or radiology-based cancer diagnostic models, especially in multi-center studies. To address this issue, we developed an open-source platform, Batch Effect Explorer (BEEx), that is designed to qualitatively and quantitatively determine whether batch effects exist among medical image datasets from different sites.

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  • Selenium-based nanoparticles (Se NPs) have antiviral properties, and this study investigates how different surface charges of these nanoparticles affect their interaction with herpes simplex virus 1 (HSV-1).
  • Three types of Se NPs (CTAB-Se, PVP-Se, and SDS-Se) were created with modified surface charges, leading to similar size and structure, but different binding capacities.
  • Among them, negatively charged SDS-Se showed the strongest antiviral activity against HSV-1, preventing viral proliferation and damaging normal cells, suggesting that surface charge engineering could enhance the effectiveness of Se NPs in fighting viral infections.
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Microwave-induced thermoacoustic (TA) imaging (MTAI) combines pulsed microwave excitation and ultrasound detection to provide high contrast and spatial resolution images through dielectric contrast, which holds great promise for clinical applications. However, artifacts caused by microwave dielectric effect will seriously affect the accuracy of MTAI images that will hinder the clinical translation of MTAI. In this work, we propose a deep learning-based method fully dense generative adversarial network (FD-GAN) for removing artifacts caused by microwave dielectric effect in MTAI.

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Background: Breast cancer is the most commonly diagnosed neoplasm in women worldwide. New molecular biomarkers and effective prognostic models are being developed. This study aimed to investigate the clinical and prognostic significance of NUAK2 expression in patients with breast cancer.

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  • Periodontitis (PD) is a chronic gum disease linked to increased prevalence among patients with rheumatoid arthritis (RA), necessitating an examination of their correlation.
  • A study involving 307 RA patients and 324 healthy controls revealed a significantly higher incidence of PD in the RA group (51.5%) compared to controls (31.2%), with increased levels of inflammation markers such as IL-1β and TNF-α in the RA and PD group.
  • Findings suggest that the presence of RA not only elevates the risk of developing PD but is also associated with heightened inflammatory responses in the gingival crevicular fluid.
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Backgound: Silent electrocardiographic ST change predicts future coronary heart disease (CHD) incidence and mortality, but the prognostic significance of painless ST-segment depression (STD) with respect to sudden cardiac death (SCD) in subjects without apparent CHD remain unclear. This study sought to test the association between non-ischemic resting STD and risk of SCD in the general population.

Methods: A total of 14,935 middle-aged subjects from the prospective, population-based Atherosclerosis Risk in Communities (ARIC) study were included in this analysis.

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  • * A study developed a new technique to isolate DNA from gingival fluid and detect bacterial genes using PCR, involving samples from patients with varying degrees of periodontitis and healthy controls.
  • * The method successfully identified bacterial presence in periodontitis patients, showing higher counts in severe cases and providing a quick and reliable alternative to traditional bacterial culture methods.
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  • Early repolarization pattern (ERP) is linked to a higher risk of dangerous heart rhythms and sudden cardiac death, especially in individuals with structural heart disease (SHD).
  • A meta-analysis of 19 studies involving over 7,000 patients demonstrated that those with ERP faced significantly increased odds of experiencing ventricular arrhythmias and sudden cardiac death compared to those without ERP.
  • The findings indicate a need for more research to understand the mechanisms behind this increased risk and to include ERP in risk assessments for patients with SHD.
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