Diagnostic accuracy of MRI-based radiomic features for EGFR mutation status in non-small cell lung cancer patients with brain metastases: a meta-analysis.

Objective: This meta-analysis aims to evaluate the diagnostic accuracy of magnetic resonance imaging (MRI) based radiomic features for predicting epidermal growth factor receptor (EGFR) mutation status in non-small cell lung cancer (NSCLC) patients with brain metastases.

Methods: We systematically searched PubMed, Embase, Cochrane Library, Web of Science, Scopus, Wanfang, and China National Knowledge Infrastructure (CNKI) for studies published up to April 30, 2024. We included those studies that utilized MRI-based radiomic features to detect EGFR mutations in NSCLC patients with brain metastases.

Astragaloside IV Alleviates Acute Hepatic Injury by Regulating Macrophage Polarization and Pyroptosis via Activation of the AMPK/SIRT1 Signaling Pathway.

Acute hepatic injury (AHI) is associated with poor prognosis in sepsis patient; however, to date, no specific therapeutic approach has been established for this disease. Therefore, we aimed to explore the effects and action mechanisms of Astragaloside IV (AS) on AHI. C57BL/6 mice, RAW264.

Quantitative flow ratio-guided staged percutaneous coronary intervention in patients with ST-segment elevation myocardial infarction.

Background: The need for primary percutaneous coronary intervention (PCI) and staged PCI strategy for ST-segment elevation myocardial infarction (STEMI) with multivessel coronary disease is well documented. This study aimed to evaluate the efficiency, safety, and cost benefit of quantitative flow ratio (QFR)-guided staged PCI in patients with STEMI.

Methods: We conducted a retrospective study involving 2256 patients meeting STEMI criteria having at least one lesion (≥50 %) in non-infarct-related (NIR) arteries.

Analysis of the effectiveness and safety of 7.5 Fr ultra-thin flexible ureteroscope combined with a tip-flexible suctioning ureteral access sheath for the treatment of kidney stones.

Objective: To compare the efficacy and safety of using a 7.5 Fr flexible ureteroscope (f-URS) with tip-flexible suctioning ureteral access sheath (TFS-UAS) versus a 9.2 Fr f-URS with traditional ureteral access sheath (T-UAS) in the treatment of kidney stones.

Elevated circulating HHIP levels in patients with metabolic syndrome.

Abnormal fat accumulation can lead to metabolic syndrome (MetS), increasing the risk of diabetes and cardiovascular disease in MetS patients. Early identification of MetS risk is essential for effective disease prevention. Using bioinformatics methods, we sought biomarkers for MetS.

Echinacoside inhibits tumor immune evasion by downregulating inducible PD-L1 and reshaping tumor immune landscape in breast and colorectal cancer.

Background: Targeting PD-L1 has become a crucial approach in tumor immunotherapy. Echinacoside (ECH) is a natural compound known for its extensive biological activities, its impact on antitumor immunity remains uncertain.

Purpose: This work was designed to assess the effects of ECH on the PD-L1/PD-1-mediated tumor immune evasion and its underlying mechanisms.

Discovery of Two GSK3β Inhibitors from Sophora flavescens Ait. using Structure-based Virtual Screening and Bioactivity Evaluation.

Objective: Kushen (Sophora flavescens Ait.) has a long history of medicinal use in China due to its medicinal values, such as antibacterial, antiviral, and anti-inflammatory. Rapid discovery of the components and the medicinal effects exerted by Kushen will help elucidate the science of Kushen in curing diseases.

Anti-oxidant, anti-apoptotic and anti-inflammatory effects of geraniin in spinal cord injury in rat: role of COX-2.

Background: Spinal cord injury (SCI) is devastating diseases affecting the degeneration of the spinal column, and vascular problems. However, the currently available therapeutic interventions are insufficient to address the effect of SCI which leads to significant impact on the morbidity and mortality of patients. In the present manuscript, we intend to investigate the pharmacological effect of geraniin on the SCI in Sprague-Dawley (SD) rats.

Development and evaluation of a duplex real-time multienzyme isothermal rapid amplification assay for the detection of hypervirulent in clinical spiked blood specimens.

Objectives: Our objective was to establish a rapid and precise method for detecting hypervirulent (hvKP) by utilizing a duplex real-time multienzyme isothermal rapid amplification (real-time MIRA) and to evaluate its performance in clinical spiked blood specimens.

Methods: The research comprised two phases: an initial pilot study to establish the methodology and a clinical validation study to assess its effectiveness. In the pilot phase, we designed specific primers and probes targeting the hvKP and genes and subsequently developed a duplex real-time MIRA assay to evaluate its detection limits, specificity, and efficiency.

Pretrained subtraction and segmentation model for coronary angiograms.

This study introduces a novel self-supervised learning method for single-frame subtraction and vessel segmentation in coronary angiography, addressing the scarcity of annotated medical samples in AI applications. We pretrain a U-Net model on a large dataset of unannotated coronary angiograms using an image-to-image translation framework, then fine-tune it on a limited set of manually annotated samples. The pretrained model excels at comprehensive single-frame subtraction, outperforming existing DSA methods.

Cancer-associated fibroblast-derived WNT5A promotes cell proliferation, metastasis, stemness and glycolysis in gastric cancer via regulating HK2.

Background: Gastric cancer (GC) is one of the most common cancers worldwide. Tumor microenvironment plays an important role in tumor progression. This study aims to explore the role of cancer-associated fibroblasts (CAFs) in GC and the underlying mechanism.

A preliminary prediction model of pediatric Mycoplasma pneumoniae pneumonia based on routine blood parameters by using machine learning method.

Background: The prevalence and severity of pediatric Mycoplasma pneumoniae pneumonia (MPP) poses a significant threat to the health and lives of children. In this study, we aim to systematically evaluate the value of routine blood parameters in predicting MPP and develop a robust and generalizable ensemble artificial intelligence (AI) model to assist in identifying patients with MPP.

Methods: We collected 27 features, including routine blood parameters and hs-CRP levels, from patients admitted to The Affiliated Dazu's Hospital of Chongqing Medical University with or without MPP between January, 2023 and January, 2024.