A5087659581- COVID-19 Clinical Research Studies
- COVID-19 diagnosis using AI
- Long-Term Effects of COVID-19
- Radiomics and Machine Learning in Medical Imaging
- SARS-CoV-2 and COVID-19 Research
- RNA modifications and cancer
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
- Antimicrobial Peptides and Activities
- Gastroesophageal reflux and treatments
- Helicobacter pylori-related gastroenterology studies
- Peptidase Inhibition and Analysis
- Artificial Intelligence in Healthcare
- Fault Detection and Control Systems
- interferon and immune responses
- Inflammatory Bowel Disease
- Ferroptosis and cancer prognosis
- Anomaly Detection Techniques and Applications
- Cancer-related molecular mechanisms research
- Hepatocellular Carcinoma Treatment and Prognosis
- Lung Cancer Diagnosis and Treatment
- RNA and protein synthesis mechanisms
- Advanced X-ray and CT Imaging
- Diet, Metabolism, and Disease
Central South University
2019-2025
Third Xiangya Hospital
2019-2024
The outbreak of coronavirus disease 2019 (COVID-19) has rapidly spread to become a worldwide emergency. Early identification patients at risk progression may facilitate more individually aligned treatment plans and optimized utilization medical resource. Here we conducted multicenter retrospective study involving with moderate COVID-19 pneumonia investigate the utility chest computed tomography (CT) clinical characteristics risk-stratify patients. Our results show that CT severity score is...
Abstract Objective To determine the predictive value of CT and clinical characteristics for short-term disease progression in patients with 2019 novel coronavirus pneumonia (NCP). Materials Methods 224 confirmed (COVID-19) infection outside Wuhan who had chest examinations were retrospectively screened. Clinical data obtained from electronic medical records. images reviewed scored lesion distribution, lobe segment involvement, ground-glass opacities, consolidation, interstitial thickening....
ABSTRACT IMPORTANCE Coronavirus disease 2019 (COVID-19) is a global pandemic associated with high mortality and effective treatment to prevent clinical deterioration severe pneumonia has not yet been well clarified. OBJECTIVE To investigate the role of several adjuvant treatments in preventing patients COVID-19. DESIGN, SETTING, AND PARTICIPANTS Multicenter, retrospective cohort study 564 consecutively hospitalized confirmed COVID-19 at Third Xiangya Hospital Central South University,...
Myocarditis poses a serious public health risk, with the potential to cause heart failure and sudden death. Traditionally, diagnosing myocarditis relies on non-invasive imaging, particularly cardiac magnetic resonance imaging (MRI), though MRI results can be vulnerable operator bias. Our research addresses this by introducing an innovative deep-learning framework tackle challenges frequently overlooked in past studies, including class imbalance, sensitivity initial weight settings,...
Coronavirus disease 2019 (COVID-19) is a global pandemic associated with high mortality. Our study aimed to determine the clinical risk factors progression and prolonged viral shedding in patients COVID-19. Consecutive 564 hospitalized confirmed COVID-19 between January 17, 2020 February 28, were included this multicenter, retrospective study. The effects of on analyzed using logistic regression Cox analyses. 69 (12.2%) developed severe or critical pneumonia, higher incidence elderly...
Instruction Ulcerative colitis (UC) can cause a variety of immune-mediated intestinal dysfunctions and is significant model inflammatory bowel disease (IBD). Colorectal cancer (CRC) mostly occurs in patients with ulcerative colitis. Cuproptosis type procedural death that associated different types diseases to various degrees. Methods We used combination bioinformatic prediction experimental verification study the correlation between copper poisoning UC. Gene Expression Omnibus database...
To develop and validate a machine learning model for the prediction of adverse outcomes in hospitalized patients with COVID-19. We included 424 non-severe COVID-19 on admission from January 17, 2020, to February primary cohort this retrospective multicenter study. The extent lung involvement was quantified chest CT images by deep learning-based framework. composite endpoint occurrence severe or critical death during hospitalization. optimal classifier feature subset were selected...
Hepatocellular carcinoma (HCC) represents one of the most significant causes mortality due to cancer-related deaths. It has been previously reported that TGF-β signaling pathway may be associated with tumor progression. However, relationship between and HCC remains further elucidated. The objective our research was investigate impact on progression as well potential regulatory mechanism involved.
Dysregulation of splicing factor expression plays a crucial role in the progression hepatocellular carcinoma (HCC). Our research found that level ZMAT2 was increased HCC, promoting proliferation HCC cells. RNAseq data indicated absence induced skipping exon mRNA, while RIPseq further revealed mRNA binding motifs ZMAT2. A comprehensive analysis and indicateed played maturation process TRIM28 mRNA. Knocking down led to deletion 25 bases 11 TRIM28, ultimately resulting nonsense-mediated decay...
Inflammation plays a crucial role in the development of metabolic syndrome (MetS). However, roles pepsinogens (PGs) and gastrin, known biomarkers linked to gastric inflammation, MetS transition status are unclear. This research aimed explore relationship between MetS, status, levels biomarkers.
Microvascular invasion (MVI) is an important predictor of postoperative recurrence or poor outcomes hepatocellular carcinoma (HCC). Radiomics able to predict MVI in HCC preoperatively. This study aims investigate the influence different region interest (ROI) sizes on CT-based radiomics model for prediction HCC.
Background: Early identification of patients at risk developing severe illness and timely interventions to prevent deterioration have the potential improve outcomes in coronavirus disease 2019 (COVID-19) patients. Herein, we conducted this study develop validate a machine learning model for early prediction progression COVID-19 Methods: 424 with non-severe who underwent chest computed tomography (CT) scan on admission were included primary cohort retrospective multicentre study. The...
To illustrate the literature distribution, research power and hotspots in radiomics by using knowledge mapping analysis, to provide reference for relevant researchers. Methods: Bibliographies from regarding Web of Science database were downloaded. BICOM 2.0.1 SATI 3.2 used clean caculate frequency publication year, journal, author, key word, institution. CiteSpace V4.4.R1 was build map scientific collaboration network between countries/regions.Ucinet 6 core authors institutions. gCLUTO 1.0...