A5013047764- Retinal Imaging and Analysis
- Connexins and lens biology
- Covalent Organic Framework Applications
- Intraocular Surgery and Lenses
- Luminescence and Fluorescent Materials
- Metal-Organic Frameworks: Synthesis and Applications
- Ocular Diseases and Behçet’s Syndrome
- Ophthalmology and Visual Impairment Studies
- Retinal Diseases and Treatments
- Ocular Disorders and Treatments
- Advanced Photocatalysis Techniques
- Environmental and Agricultural Sciences
- Retinal and Optic Conditions
- Crop Yield and Soil Fertility
- Retinal Development and Disorders
- Digital Imaging for Blood Diseases
- Carbon and Quantum Dots Applications
- Climate change impacts on agriculture
- Advanced Cellulose Research Studies
- Wnt/β-catenin signaling in development and cancer
- Nanocomposite Films for Food Packaging
- Advanced oxidation water treatment
- Cell Image Analysis Techniques
- Oral microbiology and periodontitis research
- AI in cancer detection
Sun Yat-sen University
2016-2025
First Hospital of China Medical University
2020-2025
General Hospital of Shenyang Military Region
2025
Ministry of Education of the People's Republic of China
2025
China Medical University
2020-2025
Harbin Engineering University
2024
Second Affiliated Hospital of Harbin Medical University
2022-2024
Harbin Medical University
2022-2024
Universidad de Zaragoza
2023-2024
Sichuan International Studies University
2024
Background: Inflammation resolution and cardiac repair initiation after myocardial infarction (MI) require timely activation of reparative signals. Histone lactylation confers macrophage homeostatic gene expression signatures via transcriptional regulation. However, the role histone in response post-MI remains unclear. We aimed to investigate whether induces monocytes early remotely post-MI. Methods: Single-cell transcriptome data indicated that genes were activated bone marrow circulating...
Abstract Doxorubicin (DOX) is an effective anticancer agent, but its clinical utility constrained by dose‐dependent cardiotoxicity, partly due to cardiomyocyte ferroptosis. However, the progress of developing cardioprotective medications counteract ferroptosis has encountered obstacles. Protosappanin A (PrA), anti‐inflammatory compound derived from hematoxylin, shows potential against DOX‐induced cardiomyopathy (DIC). Here, it reported that PrA alleviates myocardial damage and dysfunction...
Background Electronic medical records provide large-scale real-world clinical data for use in developing decision systems. However, sophisticated methodology and analytical skills are required to handle the datasets necessary optimisation of prediction accuracy. Myopia is a common cause vision loss. Current approaches control myopia progression effective but have significant side effects. Therefore, identifying those at greatest risk who should undergo targeted therapy great importance. The...
Slit-lamp images play an essential role for diagnosis of pediatric cataracts. We present a computer vision-based framework the automatic localization and slit-lamp by identifying lens region interest (ROI) employing deep learning convolutional neural network (CNN). First, three grading degrees are proposed in conjunction with leading ophthalmologists. The ROI is located automated manner original image using two successive applications Candy detection Hough transform, which cropped, resized...
Abstract Post‐synthetic modification (PSM) is a prevalent and powerful strategy to introduce desired functionalities into covalent organic frameworks (COFs) for functional products, expediting their applications vastly. Herein, we demonstrate PSM functionalizing brominated COFs via the well‐developed Suzuki–Miyaura cross‐coupling. By this, variety of were installed efficiently, while crystallinity porosity was well‐retained. As proof‐of‐concept, BrCOF‐2 modified with trifluoromethyl groups...
Stimuli-responsive films with a dynamic long afterglow feature have received considerable attention in the field of optical materials. Herein, we report unique ultralong room temperature phosphorescence (URTP) flexible solid made luminescent carbon dots (CDs) and polyvinylpyrrolidone (PVP). Impressively, fully reversible photo-activation thermal deactivation was achieved this material, lifetime on-off ratio exceeding 3900. Subsequently, ultra-fine URTP patterns (resolution > 1280 dpi)...
Abstract The current dogma in ophthalmology and vision research presumes the intraocular environment to be sterile. However, recent evidence of intestinal bacterial translocation into bloodstream many other internal organs including eyes, found healthy diseased animal models, suggests that cavity may also inhabited by a microbial community. Here, we tested samples from over 1000 human eyes. Using quantitative PCR, negative staining transmission electron microscopy, direct culture,...
We explored the application of two-dimensional covalent organic frameworks (2D COFs) in single molecule DNA analysis. Two ultrathin COF nanosheets were exfoliated with pore sizes 1.1 nm (COF-1.1) and 1.3 (COF-1.3) covered closely on a quartz nanopipette an orifice 20 ± 5 nm. nanopores exhibited high size selectivity for fluorescent dyes molecules. The transport long (calf thymus DNA) short (DNA-80) molecules through was studied. Because strong interaction between bases backbones COFs, DNA-80...
Abstract Background and Aims Heart failure (HF) is a leading cause of mortality worldwide characterized by significant co-morbidities dismal prognosis. Neutrophil extracellular traps (NETs) aggravate inflammation in various cardiovascular diseases; however, their function mechanism action HF pathogenesis remain underexplored. This study aimed to investigate the involvement novel VWF-SLC44A2-NET axis progression. Methods NET levels were examined patients with mouse models transverse aortic...
Abstract Utilization of digital technologies for cataract screening in primary care is a potential solution addressing the dilemma between growing aging population and unequally distributed resources. Here, we propose technology-driven hierarchical (DH screening) pattern implemented China to promote equity accessibility healthcare. It consists home-based mobile artificial intelligence (AI) screening, community-based AI diagnosis, referral hospitals. We utilize decision-analytic Markov models...
Abstract There are many image classification methods, but it remains unclear which methods most helpful for analyzing and intelligently identifying ophthalmic images. We select representative slit-lamp images show the complexity of ocular as research material to compare algorithms diagnosing diseases. To facilitate this study, some feature extraction classifiers combined automatic diagnose pediatric cataract with same dataset then their performance compared using multiple criteria. This...
A challenge of chronic diseases that remains to be solved is how liberate patients and medical resources from the burdens long-term monitoring periodic visits. Precise management based on artificial intelligence (AI) holds great promise; however, a clinical application fully integrates prediction telehealth computing has not been achieved, further efforts are required validate its real-world benefits. Taking congenital cataract as representative, we used Bayesian deep-learning algorithms...
Abstract Age is closely related to human health and disease risks. However, chronologically defined age often disagrees with biological age, primarily due genetic environmental variables. Identifying effective indicators for in clinical practice self-monitoring important but currently lacking. The lens accumulates age-related changes that are amenable rapid objective assessment. Here, using photographs from 20 96-year-olds, we develop LensAge reflect aging via deep learning. correlated...
Ocular images play an essential role in ophthalmological diagnoses. Having imbalanced dataset is inevitable issue automated ocular diseases diagnosis; the scarcity of positive samples always tends to result misdiagnosis severe patients during classification task. Exploring effective computer-aided diagnostic method deal with crucial. In this paper, we develop cost-sensitive deep residual convolutional neural network (CS-ResCNN) classifier diagnose ophthalmic using retro-illumination images....
Background/Aims To develop a deep learning system for automated glaucomatous optic neuropathy (GON) detection using ultra-widefield fundus (UWF) images. Methods We trained, validated and externally evaluated GON based on 22 972 UWF images from 10 590 subjects that were collected at 4 different institutions in China Japan. The InceptionResNetV2 neural network architecture was used to the system. area under receiver operating characteristic curve (AUC), sensitivity specificity assess...
Background/aims The aim of this study was to develop and evaluate digital ray, based on preoperative postoperative image pairs using style transfer generative adversarial networks (GANs), enhance cataractous fundus images for improved retinopathy detection. Methods For eligible cataract patients, colour photographs (CFP) ultra-wide field (UWF) were captured. Then, both the original CycleGAN a modified (C 2 ycleGAN) framework adopted generation quantitatively compared Frechet Inception...
Microsatellite instability-high (MSI-H) metastatic colorectal cancer (CRC) patients are the dominant population in immune checkpoint blockade treatments, while more than half of them could not benefit from single-agent immunotherapy. We tried to identify biomarker MSI-H CRC and explore its role mechanism anti-PD-1 treatments. Tumor-specific MHC-II was linked a better response CD74 promoted assembly transport HLA-DR dimers. The characteristic gene screened by data analysis single-cell bulk...