A5100434345- Medical Research and Treatments
- Traditional Chinese Medicine Studies
- Liver Disease Diagnosis and Treatment
- Glaucoma and retinal disorders
- Traditional Chinese Medicine Analysis
- Neonatal and fetal brain pathology
- Hepatitis B Virus Studies
- Retinal Imaging and Analysis
- Respiratory viral infections research
- Mycobacterium research and diagnosis
- Acute Myeloid Leukemia Research
- Hepatitis C virus research
- Radiomics and Machine Learning in Medical Imaging
- Cardiac Imaging and Diagnostics
- Medical Imaging Techniques and Applications
- Retinal Diseases and Treatments
- Medical Imaging and Analysis
- Spinal Fractures and Fixation Techniques
- Monoclonal and Polyclonal Antibodies Research
- Lipid metabolism and disorders
- Healthcare and Venom Research
- Pediatric health and respiratory diseases
- Phytoestrogen effects and research
- Fetal and Pediatric Neurological Disorders
- Cancer-related Molecular Pathways
Chinese Academy of Medical Sciences & Peking Union Medical College
2005-2025
Peking Union Medical College Hospital
2008-2025
Nanchang University
2022-2025
Third Affiliated Hospital of Nanchang University
2022-2025
ShanghaiTech University
2025
China Medical University
2007-2025
Chongqing Medical University
2007-2025
Children's Hospital of Chongqing Medical University
2016-2025
Central South University
2005-2025
Third Xiangya Hospital
2005-2025
Glaucoma is one of the leading causes irreversible vision loss. Many approaches have recently been proposed for automatic glaucoma detection based on fundus images. However, none existing can efficiently remove high redundancy in images detection, which may reduce reliability and accuracy detection. To avoid this disadvantage, paper proposes an attention-based convolutional neural network (CNN) called AG-CNN. Specifically, we first establish a large-scale (LAG) database, includes 11 760...
A deep learning system (DLS) that could automatically detect glaucomatous optic neuropathy (GON) with high sensitivity and specificity expedite screening for GON.To establish a DLS detection of GON using retinal fundus images glaucoma diagnosis convoluted neural networks (GD-CNN) has the ability to be generalized across populations.In this cross-sectional study, classification was developed automated obtained from Chinese Glaucoma Study Alliance, Handan Eye Study, online databases. The...
Recently, the attention mechanism has been successfully applied in convolutional neural networks (CNNs), significantly boosting performance of many computer vision tasks. Unfortunately, few medical image recognition approaches incorporate CNNs. In particular, there exists high redundancy fundus images for glaucoma detection, such that potential improving CNN-based detection. This paper proposes an attention-based CNN detection (AG-CNN). Specifically, we first establish a large-scale based...
Given the outbreak of COVID-19 pandemic and shortage medical resource, extensive deep learning models have been proposed for automatic diagnosis, based on 3D computed tomography (CT) scans. However, existing independently process lesion segmentation disease classification, ignoring inherent correlation between these two tasks. In this paper, we propose a joint model classification diagnosing COVID-19, called DeepSC-COVID, as first attempt in direction. Specifically, establish large-scale CT...
Diabetic retinopathy (DR) is a leading cause of permanent blindness among the working-age people. Automatic DR grading can help ophthalmologists make timely treatment for patients. However, existing methods are usually trained with high resolution (HR) fundus images, such that performance decreases lot given low (LR) which common in clinic. In this paper, we mainly focus on LR images. According to our analysis task, find that: 1) image super-resolution (ISR) boost both and lesion...
We present CortexODE, a deep learning framework for cortical surface reconstruction. CortexODE leverages neural ordinary differential equations (ODEs) to deform an input into target shape by diffeomorphic flow. The trajectories of the points on are modeled as ODEs, where derivatives their coordinates parameterized via learnable Lipschitz-continuous deformation network. This provides theoretical guarantees prevention self-intersections. can be integrated automatic learning-based pipeline,...
Chemoresistance is a major challenge in treating triple‑negative breast cancer (TNBC); chemotherapy remains the primary approach. The present study aimed to elucidate role of guanylate‑binding protein 2 (GBP2) activating autophagy TNBC and its impact on sensitivity cells paclitaxel (PTX). Transfection with lentivirus was performed establish cell lines stable, high GBP2 expression. mRNA levels expression were evaluated utilizing reverse transcription‑quantitative PCR western blotting,...
The study aimed to demonstrate that matrine can reduce apoptosis in H9c2 cells induced by the cardiotoxic anticancer drug doxorubicin (DOX).The researchers pretreated with different concentrations of before exposing them DOX and cultured for 24 h. They assessed cell survival rates using counting kit-8 MTT assay. Hoechst 33258 dye kits were used determine apoptosis, while laser confocal JC-1 method was applied test mitochondrial membrane potential (MMP). Complex I activities detected...
Abstract The application of deep learning algorithms for medical diagnosis in the real world faces challenges with transparency and interpretability. labeling large-scale samples leads to costly investment developing algorithms. human prior knowledge is an effective way solve these problems. Previously, we developed a system glaucoma based on large number that had high sensitivity specificity. However, it black box specific analytic methods cannot be elucidated. Here, establish hierarchical...
Parkinson's disease (PD) is the second most common neurodegenerative disease, but existing therapeutic drugs for PD have limitations; thus, there an urgent need to discover new methods of prevention and treatment. Amomum tsaoko Crevost et Lemarie (AT) a classic traditional Chinese medicine food. Its main pharmacological effect regulation gastrointestinal tract. To date, no studies on use AT or its extracts treat been reported. In this study, rotenone-induced mouse model was utilized evaluate...
As computer science progresses, neuromusculoskeletal models are increasingly applied in clinical settings, particularly when studying abnormal characteristics patients with cerebral palsy. Digital enable researchers and clinicians to gain a deeper understanding of movement mechanisms, providing additional insights for diagnosis treatment. While biomechanical simulation platforms like OpenSim offer standardized simulation, relying on generic healthy simulate movements palsy can lead...
To evaluate the two-year outcomes of combined surgical peripheral iridectomy (SPI), goniosynechialysis (GSL), and goniotomy (GT) for advanced primary angle-closure glaucoma (PACG) without cataract. Multicenter prospective study. The study included patients who received a SPI + GSL GT PACG cataract, all completed 24-month follow-up. Outcome measures changes in intraocular pressure (IOP), best-corrected visual acuity (BCVA), use anti-glaucoma medications, success, postoperative complications...
Parkinson's disease (PD) is one of the most common neurodegenerative diseases. Constipation a prodromal symptom PD. It important to investigate pathogenesis constipation symptoms in Rotenone has been successfully used establish PD animal models. However, specific mechanism rotenone-induced not well understood. In this work, we found that appeared earlier than motor impairment mice gavaged with low dose rotenone (30 mg/kg·BW). only caused loss dopaminergic neurons and accumulation...
Breast cancer patients suffer from depressive symptoms during treatments and may show different trajectories of symptoms. The health ecology model provides an integrated perspective for explaining the factors influencing This study aimed to (a) analyze that occur in breast (b) explore their by model. A total 236 participants (Mdnage = 55 years) finally completed three valid surveys. answered a personal information sheet, Self-rating Depression Scale, Family Environment Satisfaction With Life...
Recent years have witnessed the growing interest in disease severity grading, especially for ocular diseases based on fundus images. The existing grading methods are usually trained with high resolution (HR) However, performance decreases a lot given low (LR) images, which common practice. In this paper, we mainly focus diabetic retinopathy (DR) LR According to our analysis DR task, find that: 1) image super-resolution (ISR) can boost of and lesion segmentation; 2) segmentation regions...
Esketamine, one of the few non-opioid potent analgesics, has demonstrated efficacy in treatment various chronic pain, particularly neuropathic pain. However, its potential clinical applications are confined due to short half-life and severe side effects including delirium, hallucinations, other psychiatric symptoms. Here, we reported a nanosized drug delivery system for sustained-release esketamine based on polylactic-co-glycolic acid (PLGA) nanoparticles hyaluronic (HA) hydrogel.In this...