A5074593468- Retinal Imaging and Analysis
- Retinal Diseases and Treatments
- Image Retrieval and Classification Techniques
- Glaucoma and retinal disorders
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Intraocular Surgery and Lenses
- Bone Metabolism and Diseases
- Advanced Chemical Sensor Technologies
- Speech and Audio Processing
- Liver Disease Diagnosis and Treatment
- Retinal and Optic Conditions
- Music and Audio Processing
- Metabolomics and Mass Spectrometry Studies
- Cancer-related molecular mechanisms research
- TGF-β signaling in diseases
- Connexins and lens biology
- Cardiovascular Disease and Adiposity
- RNA modifications and cancer
- Text and Document Classification Technologies
- Liver Disease and Transplantation
- Mass Spectrometry Techniques and Applications
- Bone health and treatments
- Biomarkers in Disease Mechanisms
- Environmental Sustainability in Business
Qilu Hospital of Shandong University
2025
Wenzhou Medical University
2016-2024
North China University of Technology
2024
Guangxi Medical University
2020-2024
Chengdu University of Technology
2021-2024
First Affiliated Hospital of GuangXi Medical University
2020-2024
Zhengzhou University
2023-2024
First Affiliated Hospital of Wenzhou Medical University
2016-2024
Henan Cancer Hospital
2024
Northwestern Polytechnical University
2021
Andrographolide (AG) has favorable anti-inflammatory and antioxidative capacity. However, it low bioavailability due to high lipophilicity can be easily cleared by the synovial fluid after intra-articular injection, leading therapeutic efficiency in osteoarthritis (OA). Herein, we designed a nano-sized pH-responsive drug delivery system (DDS) for OA treatment using modified mesoporous silica nanoparticles (MSNs) with polyacrylic acid (PAA) loading of AG form AG@MSNs-PAA nanoplatform. The...
Abstract Artificial intelligence (AI)-based diagnostic systems have been reported to improve fundus disease screening in previous studies. This multicenter prospective self-controlled clinical trial aims evaluate the performance of a deep learning system (DLS) assisting junior ophthalmologists detecting 13 major diseases. A total 1493 images from 748 patients were prospectively collected five tertiary hospitals China. Nine trained and annotated with or without suggestions proposed by DLS....
In addition to protein-coding genes, the human genome makes a large amount of noncoding RNAs. Long non-coding RNAs (lncRNAs) have been described as largest subclass transcriptome in recent years, lncRNAs considered be key regulators tumor behavior. this study, based on previous research, we investigated expression and biological role newly identified cancer-related lncRNA, lncRNA-uc002kmd.1. We analyzed relationship between lncRNA-uc002kmd.1 colorectal cancer (CRC) total 45 CRC paired...
Aim To explore and evaluate an appropriate deep learning system (DLS) for the detection of 12 major fundus diseases using colour photography. Methods Diagnostic performance a DLS was tested on normal including referable diabetic retinopathy, pathologic myopic retinal degeneration, vein occlusion, retinitis pigmentosa, detachment, wet dry age-related macular epiretinal membrane, macula hole, possible glaucomatous optic neuropathy, papilledema nerve atrophy. The developed with 56 738 images...
Purpose: To develop deep learning models based on color fundus photographs that can automatically grade myopic maculopathy, diagnose pathologic myopia, and identify segment myopia-related lesions. Methods: Photographs were graded annotated by four ophthalmologists then divided into a high-consistency subgroup or low-consistency according to the consistency between results of graders. ResNet-50 network was used classification model, DeepLabv3+ segmentation model for lesion identification. The...
To assist with retinal vein occlusion (RVO) screening, artificial intelligence (AI) methods based on deep learning (DL) have been developed to alleviate the pressure experienced by ophthalmologists and discover treat RVO as early possible.A total of 8600 color fundus photographs (CFPs) were included for training, validation, testing disease recognition models lesion segmentation models. Four four established compared. Finally, one model selected superior. Additionally, 224 CFPs from 130...
Ninjurin 2 (NINJ2) is a novel adhesion molecule. Its expression and potential function in human colorectal cancer (CRC) cells are studied. We show that NINJ2 overexpressed established (HT-29) primary CRC colon tissues. level low epithelial normal shRNA or knockout (by CRSIPR/Cas9) potently inhibited cell survival proliferation, while significantly inducing apoptosis. Conversely, lentivirus-mediated overexpression promoted proliferation. co-immunoprecipitated with multiple RTKs (EGFR,...
Introduction Osteoarthritis (OA) is a prevalent joint disorder characterized by multifaceted pathogenesis, with macrophage dysregulation playing critical role in perpetuating inflammation and degeneration. Methods This study focuses on Songorine, derived from Aconitum soongaricum Stapf, aiming to unravel its therapeutic mechanisms OA. Comprehensive analyses, including PCR, Western blot, immunofluorescence, were employed evaluate Songorine's impact the microenvironment polarization. RNA-seq...
This article constructs a three dimensional customer segmentation model based on lifetime value, satisfaction and activity, which more accurately divides customers into different groups. The corresponding variables are obtained by RFM model, Kano BG/NBD model. provides ten groups of with marketing strategies, so that it can help enterprises maximize profits.
Abstract Background Understanding how enteric neural crest cells (ENCCs) differentiate into neurons is crucial for neurogenesis therapy and gastrointestinal disease research. This study explores magnesium ions regulate the glycolytic pathway to enhance ENCCs differentiation neurons. Materials methods We used polymerase chain reaction, western blot, immunofluorescence, multielectrode array techniques assess ions' impact on differentiation. Non-targeted metabolomic sequencing, cellular...
Background Due to complicated and variable fundus status of highly myopic eyes, their visual benefit from cataract surgery remains hard be determined preoperatively. We therefore aimed develop an optical coherence tomography (OCT)-based deep learning algorithms predict the postoperative acuity eyes after surgery. Materials Methods The internal dataset consisted 1,415 having surgeries in our hospital. Another external 161 Heping Eye Hospital. Preoperative macular OCT images were set as only...
Abstract Background The differentiation of bone mesenchymal stem cells (BMSCs) into adipogenesis (AD) rather than osteogenesis (OS) is an important pathological feature osteoporosis. Illuminating the detailed mechanisms BMSCs OS and AD would contribute to interpretation osteoporosis pathology. Methods To identify regulated mechanism in lineage commitment early stages, gene expression profiles with temporal series were downloaded reveal distinct fates when adopt a committed lineage. For both...
With the increasing use of audio sensors in user generated content collection, how to detect semantic concepts using streams has become an important research problem. In this paper, we present a concept annotation system soundtracks/ video. We investigate three different acoustic feature representations for and explore fusion with visual systems. test our on data collection from HUAWEI Accurate Fast Mobile Video Annotation Grand Challenge 2014. The experimental results show that audio-only...
This study aimed to explore the effect of cell division cycle protein 42 (CDC42) on inflammatory response and immune in mice bearing bowel disease (IBD). Trinitrobenzene sulfonic acid was injected into colon establish IBD model. The were divided four groups (n = 4): control, model, Ad5, Ad5-CDC42. After establishing which treated with AD5 empty vector AD5-CDC42 expression served as Ad5 group Ad5-CDC42 group, respectively. mRNA levels interleukin 10 (IL-10), interferon-γ (IFN-γ), IL-4, tumor...
To establish and validate an artificial intelligence (AI)-assisted automatic cataract grading program based on the Lens Opacities Classification System III (LOCS III).Eye Ear, Nose, Throat Hospital, Fudan University, Shanghai, China.AI training.Advanced deep-learning algorithms, including Faster R-CNN ResNet, were applied to localization analysis of region interest. An internal dataset from EENT Hospital University external Pujiang Eye Study used for AI training, validation, testing. The...