Machine-learning model based on ultrasomics for non-invasive evaluation of fibrosis in IgA nephropathy.

Objectives: To develop and validate an ultrasomics-based machine-learning (ML) model for non-invasive assessment of interstitial fibrosis and tubular atrophy (IF/TA) in patients with IgA nephropathy (IgAN).

Materials And Methods: In this multi-center retrospective study, 471 patients with primary IgA nephropathy from four institutions were included (training, n = 275; internal testing, n = 69; external testing, n = 127; respectively). The least absolute shrinkage and selection operator logistic regression with tenfold cross-validation was used to identify the most relevant features.

Value of contrast-enhanced ultrasound in differentiating granulomatous mastitis from invasive ductal carcinoma.

Objective: This study aims to analyse the imaging manifestations of granulomatous mastitis (GM) and invasive ductal carcinoma (IDC) using conventional ultrasound (US) and contrast-enhanced ultrasound (CEUS). The objective is to investigate the clinical value of CEUS in differentiating between GM and IDC.

Methods: We retrospectively enrolled 39 GM patients and 64 IDC patients between January 2020 and June 2023.

Diffuse Large B-Cell Lymphoma With Cardiac Invasion Presented as Acute Myocardial Infarction and Left Ventricular Hypertrophy: A Case Report.

Primary cardiac lymphoma is an exceedingly rare malignant tumor, with diffuse large B-cell lymphoma (DLBCL) being the most prevalent histological subtype. This disease has non-specific clinical manifestations, making early diagnosis crucial. However, DLBCL diagnosis is commonly delayed, and its prognosis is typically poor.

Dual elastography to discriminate adjacent stages of fibrosis and inflammation in chronic hepatitis B: A prospective multicenter study.

Background And Aims: To evaluate the diagnostic performance of dual elastography (dual-elasto) in continuous differentiation of liver fibrosis and inflammation in a large prospective cohort of patients with chronic HBV.

Approach And Results: Adults with positive HBsAg for at least 6 months were recruited from 12 medical centers. Participants underwent dual-elasto evaluations.

CEG: A joint model for causal commonsense events enhanced story ending generation.

With the success of pre-trained language models, the performance of story ending generation has been dramatically improved while remaining challenging due to the lack of commonsense reasoning ability. Most previous works mainly focus on using commonsense knowledge to enhance the implicit correlations between words but ignore the hidden causality of sentences or events. In this paper, we propose Causal commonsense Enhanced joint model for story ending Generation (CEG), which incorporates causal commonsense events knowledge to generate a reasonable story ending.

Glycyrrhizic acid ameliorates myocardial ischemia-reperfusion injury in rats through inhibiting endoplasmic reticulum stress.

The purpose of this study was to investigate the role of glycyrrhizic acid (GA) in regulating myocardial ischemia-reperfusion injury (MIRI) in rats as well as the underlying mechanism. H9c2 cells were subjected to hypoxia/re-oxygenation (H/R) to mimic the MIRI in vitro, while a rat model of ischemia-reperfusion (I/R) was constructed by occlusion of the left anterior descending coronary artery for 0.5 h followed by 2 h of reperfusion.

Multiomics Analysis of Transcriptome, Epigenome, and Genome Uncovers Putative Mechanisms for Dilated Cardiomyopathy.

Objective: Multiple genes have been identified to cause dilated cardiomyopathy (DCM). Nevertheless, there is still a lack of comprehensive elucidation of the molecular characteristics for DCM. Herein, we aimed to uncover putative molecular features for DCM by multiomics analysis.

Multiomics Analysis of Genetics and Epigenetics Reveals Pathogenesis and Therapeutic Targets for Atrial Fibrillation.

Objective: This study is aimed at understanding the molecular mechanisms and exploring potential therapeutic targets for atrial fibrillation (AF) by multiomics analysis.

Methods: Transcriptomics and methylation data of AF patients were retrieved from the Gene Expression Omnibus (GEO). Differentially expressed genes (DEGs) and differentially methylated sites between AF and normal samples were screened.