A5100332383- Chronic Myeloid Leukemia Treatments
- Lymphoma Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
- Text and Document Classification Technologies
- AI in cancer detection
- Photodynamic Therapy Research Studies
- Radiomics and Machine Learning in Medical Imaging
- Nonmelanoma Skin Cancer Studies
- Retinal Imaging and Analysis
- Face and Expression Recognition
- Advanced Computational Techniques and Applications
- Coronary Interventions and Diagnostics
- Rough Sets and Fuzzy Logic
- Neonatal and fetal brain pathology
- Gallbladder and Bile Duct Disorders
- COVID-19 diagnosis using AI
- Cervical Cancer and HPV Research
- Cerebrovascular and Carotid Artery Diseases
- Advanced Text Analysis Techniques
- Liver Disease Diagnosis and Treatment
- Advanced Clustering Algorithms Research
- Retinopathy of Prematurity Studies
- Dermatologic Treatments and Research
- Ocular Infections and Treatments
- Artificial Intelligence in Healthcare
Shantou University
2006-2025
Southwest University
2025
Huazhong Agricultural University
2024
Hefei Institutes of Physical Science
2024
Chinese Academy of Sciences
2024
University of Science and Technology of China
2024
Sichuan University
2024
West China Hospital of Sichuan University
2024
First Affiliated Hospital of Anhui Medical University
2024
Anhui Medical University
2024
Abstract Retinal fundus diseases can lead to irreversible visual impairment without timely diagnoses and appropriate treatments. Single disease-based deep learning algorithms had been developed for the detection of diabetic retinopathy, age-related macular degeneration, glaucoma. Here, we a platform (DLP) capable detecting multiple common referable conditions (39 classes) by using 249,620 images marked with 275,543 labels from heterogenous sources. Our DLP achieved frequency-weighted average...
MEG3 as a tumor suppressor has been reported to be linked with pathogenesis of malignancies including hepatocellular carcinoma (HCC). However, the mechanism in HCC still remains unclear. In our study, aberrant decreased level 72 tissues obtained from patients and cell lines was examined by using real‐time PCR. The inhibition affection proliferation inducing apoptosis further confirmed vivo vitro, we also demonstrated that regulates partially via accumulation p53. Besides, hypermethylation...
Abstract Although one of the first comprehensive examinations long non-coding RNA (lncRNA) expression was performed in human CD8 T lymphocytes, little is known about their roles cells functions during progression hepatocellular carcinoma (HCC). Here, we show that Lnc-Tim3 upregulated and negatively correlates with IFN-γ IL-2 production tumor-infiltrating HCC patients. plays a pivotal role stimulating exhaustion survival exhausted cells. Mechanistically, specifically binds to Tim-3 blocks its...
<h3>Importance</h3> A retinopathy of prematurity (ROP) diagnosis currently relies on indirect ophthalmoscopy assessed by experienced ophthalmologists. deep learning algorithm based retinal images may facilitate early detection and timely treatment ROP to improve visual outcomes. <h3>Objective</h3> To develop a image–based, multidimensional, automated, platform for screening validate its performance accuracy. <h3>Design, Setting, Participants</h3> total 14 108 eyes 8652 preterm infants who...
Cluster of differentiation 97 (CD97) is a member the epidermal growth factor seven-transmembrane family belonging to class B G protein-coupled receptors (GPCRs). The protein affects tumor aggressiveness through its cellular ligand CD55 stimulation and exhibits adhesive properties. Studies have demonstrated involvement CD97 in dedifferentiation, migration, invasiveness, metastasis tumors. However, little information currently available on specific role hepatocellular carcinoma (HCC). Here, we...
Abstract Management of hepatocellular carcinoma (HCC) remains challenging due to population growth, frequent recurrence and drug resistance. Targeting genes involved with the ferroptosis is a promising alternative treatment strategy for HCC. The present study aimed investigate effect dihydroartemisinin (DHA) against HCC explore underlying mechanisms. effects DHA on induction were investigated measurement malondialdehyde concentrations, oxidised C11 BODIPY 581/591 staining, as well...
Endoscopic retrograde cholangiopancreatography (ERCP) in patients with surgically altered anatomy is challenging. Results of ERCP those varied. The aim our study was to evaluate the safety and effectiveness various endoscopes-assisted anatomy. Fifty-two Billroth II reconstruction (group A), 20 subtotal or total gastrectomy Roux-en-Y anastomosis B), 25 pancreatoduodenectomy hepaticojejunostomy C) were included. Gastroscope, duodenoscope, colonoscope, double-balloon enteroscope used. endoscope...
Cervical cell segmentation is a fundamental step in automated cervical cancer cytology screening. The aim of this study was to develop and evaluate deep ensemble model for including both cytoplasm nucleus segmentation.The Cx22 dataset used the algorithm. U-Net, U-Net + , DeepLabV3, DeepLabV3Plus, Transunet, Segformer were as candidate architectures, each first four architectures adopted two different encoders choosing from resnet34, resnet50 denseNet121. Models trained under settings:...
Abstract Objectives The objective of this study is to develop a deep learning (DL) model for fast and accurate mandibular canal (MC) segmentation on cone beam computed tomography (CBCT). Methods A total 220 CBCT scans from dentate subjects needing oral surgery were used in study. ground truth annotated reviewed by two senior dentists. All patients randomly splitted into training dataset (n = 132), validation 44) test 44). We proposed two-stage 3D-UNet based framework automated MC CBCT. Dice...
Deep neural network-based programs can be applied to protein structure modeling by inputting amino acid sequences. Here, we aimed evaluate the AlphaFold2-modeled myocilin wild-type and variant structures compare experimentally determined structures. Molecular dynamic ligand binding properties of were also analyzed. showed high similarities in overall mutant structures, but orientations geometries side chains slightly different. The olfactomedin-like domain modeled missense fewer folding...
Utilizing LiDAR sensors mounted on unmanned aerial vehicles (UAVs) to acquire three-dimensional data of fruit orchards and extract precise information about individual trees can greatly facilitate management. To address the issue low accuracy in traditional watershed segmentation methods based canopy height models, this paper proposes an enhanced method tree crowns orchards, enabling improved detection overlapping crown features. Firstly, a distribution curve single-row or single-column...
Abstract An axial/radial dual-stage swirler with an inner axial inlet and outer radial is proposed its mean flow turbulent characteristics are studied by particle imaging velocimetry (PIV) numerical simulation. Compared a traditional single-stage swirler, the Coanda effect can be weakened inside swirler. By proper orthogonal decomposition (POD) analysis, it found that has higher energy concentration in each order mode exhibits explosive breakup (Mode 1), swinging 2), one precessing vortex...
This study aimed to demonstrate the clinical outcomes of granulocyte colony-stimulating factor (G-CSF)/antithymocyte globulin (ATG), posttransplantation cyclophosphamide (PTCy) and PTCy combined with lowdose ATG (PTCy ATGlow)-based haploidentical transplantation protocols in patients haematologic malignancies. The comparisons were conducted via propensity score matching (PSM) analysis balance basic characteristics among different groups based on data reported Chinese Bone Marrow...
In this work, a simple, rapid, solvent-free, and low-cost method was developed for the determination of ligustilides in traditional Chinese medicines (TCMs), which based on pressurized hot water extraction (PHWE) followed by headspace solid-phase microextraction (HS-SPME) gas chromatography-mass spectrometry (GC-MS). The two bioactive compounds Z-ligustilide E-ligustilide common TCMs, viz. Ligusticum chuanxiong Angelica sinensis, were extracted at 150°C 40 bar, concentration with HS-SPME...
// Wenjie Zhang 1, * , Jiajie Hou Xiaochen Wang 1 Runqiu Jiang Yin Jie Ji Lei Deng 2 Xingxu Huang Ke Beicheng Sun Liver Transplantation Center of the First Affiliated Hospital and State Key Laboratory Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu Province, P.R. China MOE Model Animal for Disease Study, Research These authors have contributed equally to this work Correspondence to: Sun, e-mail: sunbc@njmu.edu.cn Keywords: PTPRO, autophagy, AKT, p53, nonalcoholic...
Background/Aims: PTPRO (protein tyrosine phosphatase, receptor type O) is implicated in diverse physiological and pathological processes cancer hepatic ischemia/reperfusion injury, although little known about its role fibrosis. Methods: Here, by using genetically deficient mice, we reported that knockout (PTPRO-/-) significantly attenuated liver release of inflammatory factors, tissue remodeling, fibrosis two experimental mouse models fibrogenesis induced bile-duct ligation or carbon...