A5114859391- Advanced Graph Neural Networks
- Radiomics and Machine Learning in Medical Imaging
- Helicobacter pylori-related gastroenterology studies
- Galectins and Cancer Biology
- Gastric Cancer Management and Outcomes
- Eosinophilic Esophagitis
- Cancer Immunotherapy and Biomarkers
- Brain Tumor Detection and Classification
- Lung Cancer Diagnosis and Treatment
- Graph Theory and Algorithms
- Veterinary medicine and infectious diseases
- Neuroinflammation and Neurodegeneration Mechanisms
- Blood Pressure and Hypertension Studies
- Lipoproteins and Cardiovascular Health
- Chronic Kidney Disease and Diabetes
- Cardiovascular Health and Disease Prevention
- Intracerebral and Subarachnoid Hemorrhage Research
- Gene expression and cancer classification
- Diabetes Treatment and Management
- Genomics, phytochemicals, and oxidative stress
- Domain Adaptation and Few-Shot Learning
- Antifungal resistance and susceptibility
- Cardiovascular Syncope and Autonomic Disorders
- Birth, Development, and Health
- Generative Adversarial Networks and Image Synthesis
Weihai Municipal Hospital
2015-2024
Shandong University
2023-2024
Beijing University of Technology
2022-2024
Hainan Normal University
2021-2022
Hainan University
2021
Dalian Medical University
2015-2016
Abstract Background Lung cancer is the most commonly diagnosed worldwide. Its survival rate can be significantly improved by early screening. Biomarkers based on radiomics features have been found to provide important physiological information tumors and considered as having potential used in screening of lung cancer. In this study, we aim establish a model develop tool improve discrimination between benign malignant pulmonary nodules. Methods A retrospective study was conducted 875 patients...
Background This longitudinal study aims to characterize body mass index ( BMI ) trajectories during young adulthood (20-40 years) and examine the impact of level-independent on hypertension risk. Methods Results The cohort consisted 3271 participants (1712 males 1559 females) who had blood pressure BP repeatedly measured 4 11 times 2004 2015 information incident hypertension. Four distinct trajectory groups were identified using latent class growth mixture model: low-stable (n=1497),...
Background. This research investigated whether glucose fluctuation (GF) can exacerbate cognitive impairment in streptozotocin-induced diabetic rats and explored the related mechanism. Methods. After 4 weeks of feeding with diets containing high fats plus sugar, rat model diabetes mellitus (DM) was established by intraperitoneal injection streptozotocin (STZ). Then, GF triggered means alternating satiety starvation for 24 h. The weight, blood level, water intake were recorded. Morris maze...
Abstract Context In type 2 diabetes mellitus (T2DM), orthostatic hypotension (OH) is associated with cognition, but the mechanisms governing link between OH and cognition are still unclear. Objective We sought to analyze Alzheimer’s disease (AD) biomarkers part of complement proteins in modulating association cognitive impairment examine whether could accelerate clinical progression mild (MCI) dementia T2DM. Methods recruited patients T2DM MCI collected general healthy information blood...
The severity of Helicobacter pylori-related disease is correlated with the presence and integrity a cag pathogenicity island (cagPAI). cagPAI genotype may have modifying effect on pathogenic potential infecting strain. After analyzing sequences genes, some strains East Asian-type genes were selected for further analysis to examine association between diversity virulence H. pylori. results showed that gastric mucosal inflammatory cell infiltration was significantly higher in patients pylori...
Lung cancer is a kind of with high morbidity and mortality which associated various gene mutations. Individualized targeted-drug therapy has become the optimized treatment lung cancer, especially benefit for patients who are not qualified lobectomy. It crucial to accurately identify mutant genes within tumor region from stained pathological slice. Therefore, we mainly focus on identifying by analyzing images. In this study, have proposed method mutations in histopathological image deep...
Colorectal cancer (CRC) is one of the most prevalent malignancies, and immunotherapy can be applied to CRC patients all ages, while its efficacy uncertain. Tumor mutational burden (TMB) important for predicting effect immunotherapy. Currently, whole-exome sequencing (WES) a standard method measure TMB, but it costly inefficient. Therefore, urgent explore assess TMB without WES improve outcomes. In this study, we propose deep learning method, DeepHE, based on Residual Network (ResNet) model....
Cancer immunotherapy, as a novel treatment against cancer metastasis and recurrence, has brought significantly promising effective therapy for treatments. At present, programmed death 1 (PD-1) cell death-Ligand (PD-L1) lung is primarily recognized an immune checkpoint inhibitor (ICI) to play anti-tumor effect; however, it remains uncertain regarding of its efficacy though. Thereafter, tumor mutation burden (TMB) was high-potential be predictive marker the therapy, but invasive costly....
Graph neural networks (GNNs) demonstrate a robust capability for representation learning on graphs with complex structures, showcasing superior performance in various applications. The majority of existing GNNs employ graph convolution operation by using both attribute and structure information through coupled learning. In essence, GNNs, from an optimization perspective, seek to learn consensus compromise embedding that balances information, selectively exploring retaining valid information....
Structured clustering networks, which alleviate the oversmoothing issue by delivering hidden features from autoencoder (AE) to graph convolutional networks (GCNs), involve two shortcomings for task. For one thing, they used vanilla structure learn representations without considering feature and corruption; another exhibit network degradation vanishing gradient issues after stacking multilayer GCNs. In this article, we propose a method called dual-masked deep structural (DMDSC) with adaptive...
Objective To investigate the relationship between biomarkers of renal function and cerebral microbleeds (CMBs) in hemorrhage patients. Methods This is a cross-sectional study including total 129 patients with hemorrhage. All underwent susceptibility weighted 3.0 T MRI. The presence number CMBs on MRI were independently interpreted. We calculated urinary albumin/creatinine ratio (UACR) from morning spot urine estimated glomerular filtration rate (eGFR) serum samples. Serum cystatin C...
The clinical mortality of cryptococcal meningitis (CM) is high. There no report hypopituitarism associated with HIV negative CM so far. patients complicated are easy to be misdiagnosed and mistreated. A patient was admitted Weihai Municipal Hospital on August 27, 2021. treated for 18 years after craniopharyngioma headache more than 2 months, nausea vomiting 4 days. MRI showed abnormal enhancement the right basal ganglia, edema surrounding tissue, multiple striated bilateral cerebellar...
Abstract Novel Combination Therapeutic Targeting of the Immune Checkpoint PD-1 and c-MET in Pancreatic Cancer Introduction: regimens incorporating immune checkpoint inhibitors (ICIs) have improved survival many cancers, but had little impact pancreatic ductal adenocarcinoma (PDAC). We previously discovered that these ICIs directly target autonomously expressed functional on PDAC cells. sought to investigate downstream effectors signaling cells as potential novel therapeutic targets. Methods:...