A5023237216- Renal and related cancers
- Renal cell carcinoma treatment
- Cancer Genomics and Diagnostics
- Single-cell and spatial transcriptomics
- Knee injuries and reconstruction techniques
- Advanced Memory and Neural Computing
- Catalytic Processes in Materials Science
- Reinforcement Learning in Robotics
- Electrocatalysts for Energy Conversion
- CCD and CMOS Imaging Sensors
- Soil and Land Suitability Analysis
- Soil Geostatistics and Mapping
- Total Knee Arthroplasty Outcomes
- Sports injuries and prevention
- Machine Fault Diagnosis Techniques
- Remote Sensing in Agriculture
- Radiomics and Machine Learning in Medical Imaging
- Extracellular vesicles in disease
- Explainable Artificial Intelligence (XAI)
- Clusterin in disease pathology
- Thermography and Photoacoustic Techniques
- Aluminum Alloys Composites Properties
- High voltage insulation and dielectric phenomena
- CO2 Reduction Techniques and Catalysts
- High-Voltage Power Transmission Systems
Guangxi Medical University
2021-2025
First Affiliated Hospital of GuangXi Medical University
2021-2025
Chalmers University of Technology
2025
Nanyang Technological University
2023-2024
Xiangya Hospital Central South University
2023-2024
Central South University
2023-2024
Northwestern Polytechnical University
2024
Suzhou Vocational Institute of Industrial Technology
2024
Ministry of Education of the People's Republic of China
2024
Northwest University
2024
Renal cell carcinoma (RCC) is the most common type of kidney cancer. Studying pathogenesis RCC particularly important, because it could provide a direct guide for clinical treatment. Given that tumor heterogeneity probably reflected at mRNA level, study in may reveal some potential tumor-specific markers, especially single-cell RNA sequencing (scRNA-seq).We performed an exploratory on three pathological types with small sample size. This presented clear-cell (ccRCC), 2 pRCC, and chRCC total...
Abstract Clear cell renal carcinoma (ccRCC) frequently features a high level of tumor heterogeneity. Elucidating the chromatin landscape ccRCC at single-cell could provide deeper understanding functional states and regulatory dynamics underlying disease. Here, we performed RNA sequencing (scRNA-seq) assay for transposase-accessible using (scATAC-seq) on 19 samples, whole-exome was used to understand heterogeneity between individuals. Single-cell transcriptome accessibility maps were...
Abstract Aim Irisin, a novel myocyte‐secreted hormone mediating beneficial effects of exercise on metabolism, is supposed to be an ideal therapeutic target for metabolic disorders such as obesity and diabetes. Here, we investigated the potential metformin glibenclamide, two antidiabetic medicines, irisin release in mouse. Methods Wild‐type diabetic obese db/db mice were administrated with glibenclamide 2 weeks, cultured C2C12 myotubes treated by metformin. Expression precursor FNDC 5 was...
Abstract Background The introduction of multiparameter MRI and novel biomarkers has greatly improved the prediction clinically significant prostate cancer (csPCa). However, decision-making regarding biopsy prebiopsy examinations is still difficult. We aimed to establish a quick economic tool improve detection csPCa based on routinely performed clinical through an automated machine learning platform (AutoML). Methods This study included multicenter retrospective cohort two prospective cohorts...
Acoustic resolution photoacoustic microscopy (AR-PAM) is a promising medical imaging modality that can be employed for deep bio-tissue imaging. However, its relatively low has greatly hindered wide applications. Previous model-based or learning-based PAM enhancement algorithms either require design of complex handcrafted prior to achieve good performance lack the interpretability and flexibility adapt different degradation models. model AR-PAM subject both depth center frequency ultrasound...
Regulating the occurrence and progression of tumor cells at epigenetic level is a new insight clear cell renal carcinoma (ccRCC). Chromatin accessibility an important pathway regulation, which may explain mystery occurrence. Assay for transposase-accessible chromatin sequencing (ATAC-seq) provides into regulatory features ccRCC, especially single-cell level. In this study, we performed scATAC-seq 3 ccRCC samples captured total 18,703 high-quality nuclei 104,818 unique peaks. Our protocol...
Cancer remains a leading global cause of mortality, making early detection crucial for improving survival outcomes. The study aims to develop machine learning-enabled blood-derived exosomal RNA profiling platform multi-cancer and localization. In this multi-phase, multi-center study, we analyzed from exosomes derived peripheral blood plasma in 818 participants across eight cancer types during the discovery phase. Machine learning techniques were applied identify potential pan-cancer...
Abstract Background In recent years, immunotherapy has made significant progress. However, the understanding of heterogeneity and function T cells, particularly CD8 + in cervical cancer (CESC) microenvironment remains insufficient. We aim to characterize heterogeneity, developmental trajectory, regulatory network, intercellular communication cells squamous cell carcinoma construct a prognostic risk model based on transcriptomic characteristics cells. Methods integrated single-cell RNA...
In the last two decades, machine learning (ML) methods have been widely used in digital soil mapping (DSM), but regression kriging (RK) model which combines advantages of ML and has rarely DSM. addition, due to limitation a single-model structure, many poor prediction accuracy undulating terrain areas. this study, we collected SOC content 115 samples hilly farming area with continuous terrain. According theory soil-forming factors pedogenesis, selected 10 topographic indices, 7 vegetation 2...
Bilateral renal cell carcinoma (RCC) is a rare disease that can be classified as either familial or sporadic. Studying the cellular molecular characteristics of sporadic bilateral RCC important to provide guidance for clinical treatment. Cellular expressed at RNA level, especially single-cell degree. Single-cell sequencing (scRNA-seq) was performed on clear (ccRCC). A total 3,575 and 3,568 high-quality transcriptome data were captured from left right tumour tissues, respectively. Gene...
Abstract Purpose To perform a meta-analysis to compare clinical outcomes of anterior cruciate ligament (ACL) repair and ACL reconstruction for acute rupture. Method We searched Pubmed, Embase, the Cochrane Library, Web Science databases seek relevant studies. Clinical included failure rate, hardware removal anteroposterior (AP) knee laxity, patient-reported outcomes. In addition, subgroup analysis was carried out according techniques, rupture locations, study designs. Funnel plots were used...
Abstract Disulfidptosis, a newly identified programmed cell death pathway in prostate cancer (PCa), is closely associated with intracellular disulfide stress and glycolysis. This study aims to elucidate the roles of disulfidptosis-related genes (DRGs) pathogenesis progression PCa, goal improving diagnostic therapeutic approaches. We analyzed PCa datasets normal tissue transcriptome data from TCGA, GEO, MSKCC. Using consensus clustering analysis LASSO regression, we developed risk scoring...
Background Testicular cancer is the most common solid malignancy in young men. Given many histological classifications of testicular tumors, seminoma one treatable cancers. The survival rate early-stage disease was more than 90%. Thus, at cellular and molecular levels, especially single-cell level, worth studying. Methods We performed a RNA sequencing (scRNA-seq) study on patient who diagnosed with lymph node metastasis. This presented tumor tissue, PBMC, pelvic renal hilus total 18,206...
Soil surveying and mapping provide important support for environmental science research on soil other resources. Due to the rapid change in land use long update cycle of maps, historical conventional maps (CSMs) may be outdated have low accuracy. Therefore, there is an urgent need accurate up-to-date maps. has a high correlation with its corresponding factors space, typical samples contain appropriate soil–environment relationship types. Understanding how extract according determine implied...
To evaluate the postoperative outcomes of all-inside technique in arthroscopic anterior cruciate ligament reconstruction (ACLR).
Recent advancements in intelligent diagnosis rely heavily on data-driven methods. However, these methods often encounter challenges adequately addressing class imbalances the context of fault mechanical systems. This paper proposes MeanRadius-SMOTE graph neural network (MRS-GNN), a novel framework designed to synthesize node representations GNNs effectively mitigate this issue. Through integrating oversampling technique into GNN architecture, MRS-GNN demonstrates an enhanced capability learn...