A5011560173- Lung Cancer Treatments and Mutations
- Radiomics and Machine Learning in Medical Imaging
- Hepatocellular Carcinoma Treatment and Prognosis
- Biosimilars and Bioanalytical Methods
- Cancer Treatment and Pharmacology
- Fatty Acid Research and Health
- Renal cell carcinoma treatment
- Manufacturing Process and Optimization
- Lung Cancer Research Studies
- Gastric Cancer Management and Outcomes
- Colorectal Cancer Treatments and Studies
- Asthma and respiratory diseases
- BIM and Construction Integration
- Fire Detection and Safety Systems
- Cancer, Lipids, and Metabolism
- HER2/EGFR in Cancer Research
- Cognitive Computing and Networks
- Climate Change and Health Impacts
- Parkinson's Disease and Spinal Disorders
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Peripheral Neuropathies and Disorders
- Advanced Neural Network Applications
- Myasthenia Gravis and Thymoma
- Health, Environment, Cognitive Aging
- Cancer-related Molecular Pathways
Liaocheng People's Hospital
2023-2025
China University of Mining and Technology
2025
Shandong University
2023-2025
Qingdao University
2017-2021
Affiliated Hospital of Qingdao University
2017-2021
Tianjin Medical University Cancer Institute and Hospital
2021
Myasthenia gravis (MG) is an autoimmune disease caused by antibody mediated impairment in the neuromuscular junction. Seronegative MG (SNMG) without antibodies against acetylcholine receptor (AChR) and muscle-specific kinase (MuSK) routine assays accounts for about 20% of all patients.Plasma from 81 Chinese patients previously found to be seronegative was tested AChR MuSK antibodies. These samples were screened (i) a novel, highly sensitive radioimmunoassay antibodies; (ii) cell-based...
Asthma is an inflammatory disease. The potential of n-3 polyunsaturated fatty acids (PUFAs) to alleviate asthma symptoms through their anti-inflammatory effects and immune modulation has been explored. However, the precise role dietary PUFAs in childhood adolescent remains unclear.This study aimed evaluate association between intake children adolescents United States.We conducted a cross-sectional analysis 8543 from National Health Nutrition Examination Survey (NHANES) 2013 2020 by adjusting...
Abstract Objectives To investigate the utility of deep learning (DL) automated segmentation-based MRI radiomic features and clinical-radiological characteristics in predicting early recurrence after curative resection single hepatocellular carcinoma (HCC). Methods This single-center, retrospective study included consecutive patients with surgically proven HCC who underwent contrast-enhanced before hepatectomy from December 2009 to 2021. Using 3D U-net-based DL algorithms, segmentation liver...
Objective: This study aimed to investigate how dynamic contrast-enhanced CT imaging signs correlate with the differentiation grade and microvascular invasion (MVI) of hepatocellular carcinoma (HCC), assess their predictive value for MVI when combined clinical characteristics. Methods: We conducted a retrospective analysis data from 232 patients diagnosed HCC at our hospital between 2021 2022. All underwent preoperative enhanced scans, laboratory tests, postoperative pathological...
This study addresses the cross-scenario challenges in pedestrian re-identification for public safety, including perspective differences, lighting variations, occlusions, and vague feature expressions. We propose a method called EHAFF-NET, which integrates an enhanced hybrid attention mechanism multi-branch fusion. introduce Enhanced Hybrid Attention Module (EHAM), combines channel spatial mechanisms. The uses self-attention to capture long-range dependencies extracts multi-scale local...
The objective of this study was to investigate the effects total dietary energy intake on asthma. Study selection. a retrospective cross-sectional Americans aged 1–18 year. Comprehensive demographic, dietary, examination, laboratory, and asthma questionnaire data were collected for each participant. Multivariate logistic regression, restricted triple spline curves, threshold effects, stratified analyses used analysis. Of 12,090 participants, 1,893 (15.66%) had diagnosis After accounting...
This study aimed to evaluate the potential of deep learning (DL)-assisted automated three-dimensional quantitative tumor burden at MRI predict postoperative early recurrence (ER) hepatocellular carcinoma (HCC).
Background: QL1101 is a biosimilar molecule of bevacizumab (BEV,Avastin®) which monoclonal antibody (mAb) that binds and inhibits vascular endothelial growth factor (VEGF). The main purpose the study to evaluate whether effectiveness equivalent Avastin®; secondary estimate safety immunogenicity. Methods: planed recruitment 512 patients with locally metastatic or recurrent non-squamous cell non-small lung cancer (NCT03169335). into (test group) Avastin® (control in combination...
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In the present study of 297 patients, we evaluated role three-dimensional (3D) quantitative tumor burden analysis using fully automatic segmentation at magnetic resonance imaging in subcategorization Barcelona Clinic Liver Cancer (BCLC) stage A hepatocellular carcinoma (HCC) after curative resection. Our results demonstrated that 3D total (TTB) and serum a-fetoprotein were independent predictors overall survival could be used to subcategorize BCLC HCC. Additionally, higher TTB (>18.5%)...
Accurate detection of focal liver lesions in Gd-DTPA-enhanced magnetic resonance imaging (MRI) necessitates a high level skill and experience. This task is typically performed by radiologists through visual inspection, which time-consuming, labor-intensive, subject to intra- inter-observer variation. Convolutional neural networks (CNNs) have demonstrated significant potential detecting on medical imaging. Our study presents unified multi-sequence lesion detector model for automatically MR...