A5108047848- Opportunistic and Delay-Tolerant Networks
- Caching and Content Delivery
- Mobile Ad Hoc Networks
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neural Network Applications
- IoT and Edge/Fog Computing
- MicroRNA in disease regulation
- Artificial Intelligence in Healthcare
- Human Mobility and Location-Based Analysis
- Digital Imaging for Blood Diseases
- Circular RNAs in diseases
- Medical Image Segmentation Techniques
- Complex Network Analysis Techniques
- COVID-19 diagnosis using AI
- Brain Tumor Detection and Classification
- Cancer-related molecular mechanisms research
- Lung Cancer Diagnosis and Treatment
- ICT in Developing Communities
- Energy Harvesting in Wireless Networks
- Extracellular vesicles in disease
- Molecular Communication and Nanonetworks
- Lipoproteins and Cardiovascular Health
- Vehicular Ad Hoc Networks (VANETs)
- Energy Efficient Wireless Sensor Networks
Monash University
2021-2024
Central South University
2015-2024
Jiangxi University of Traditional Chinese Medicine
2021-2024
Guizhou University
2022-2024
Chongqing University of Posts and Telecommunications
2024
Nanjing University
2013-2024
Nanjing General Hospital of Nanjing Military Command
2013-2024
Hunan University
2009-2024
Changsha University
2018-2024
Institute of Art
2024
Abstract Circulating microRNAs (miRNAs) are emerging biomarkers for type 2 diabetes mellitus (T2DM). However, a comprehensive characterization of the serum miRNA profile in patients with T2DM-associated microvascular disease (T2DMC) has rarely been reported. In this study, we obtained samples from 184 T2DM (92 complications and 92 free complications) age/gender-matched controls. The levels 754 miRNAs were initially analyzed using TaqMan Low Density Array (TLDA) three pooled 24 patients,...
Osteosarcoma is the most common primary malignant bone tumor in children and adolescents. It has a high degree of malignancy poor prognosis developing countries. The doctor manually explained that magnetic resonance imaging (MRI) suffers from subjectivity fatigue limitations. In addition, structure, shape, position osteosarcoma are complicated, there lot noise MRI images. Directly inputting original data set into automatic segmentation system will bring cause model's accuracy to decrease....
Nowadays, the most common primary bone tumor is osteosarcoma, which mostly occurs in teenagers. A diagnosis method currently that doctors manually diagnose osteosarcoma magnetic resonance imaging (MRI) images because it nonradioactive and has no biological damage to brain tissue more obvious performance soft components such as tumors, blood vessels, muscles MRI images. However, this labor-intensive time-consuming work, cannot guarantee accuracy of diagnostic results. Existing image...
Osteosarcoma is the most common malignant osteosarcoma, and developing countries face great challenges in diagnosis due to lack of medical resources. Magnetic resonance imaging (MRI) has always been an important tool for detection but it a time-consuming labor-intensive task doctors manually identify MRI images. It highly subjective prone misdiagnosis. Existing computer-aided methods osteosarcoma images focus only on accuracy, ignoring computing resources countries. In addition, large amount...
Lung cancer has the highest mortality rate among all malignancies. Non-micro pulmonary nodules are primary manifestation of early-stage lung cancer. If patients can be detected with in early stage and receive timely treatment, their survival improved. Due to large number limited medical resources, doctors take a longer time make diagnosis, which reduces efficiency accuracy. Besides, there no suitable approaches for developing countries. Therefore, we propose 2.5D-based cascaded multi-stage...
Osteosarcoma is one of the most common primary malignancies bone in pediatric and adolescent populations. The morphology size osteosarcoma MRI images often show great variability randomness with different patients. In developing countries, large populations lack medical resources, it difficult to effectively address difficulties early diagnosis limited physician manpower alone. addition, proposal precision medicine, existing image segmentation models for face challenges insufficient accuracy...
Osteosarcoma is the most common malignant bone tumor with a high degree of malignancy and misdiagnosis rates. Pathological images are crucial for its diagnosis. However, underdeveloped regions currently lack sufficient high-level pathologists, leading to uncertain diagnostic accuracy efficiency. Existing research on pathological image segmentation often neglects differences in staining styles data, without considering medical backgrounds. To alleviate difficulty diagnosing osteosarcoma...
Bone malignant tumors are metastatic and aggressive, with poor treatment outcomes prognosis. Rapid accurate diagnosis is crucial for limb salvage increasing the survival rate. There a lack of research on deep learning to segment bone tumor lesions in medical images complex backgrounds blurred boundaries. Therefore, we propose new intelligent auxiliary framework image segmentation lesions, which consists supervised edge-attention guidance network (SEAGNET). We design boundary key points...
BACKGROUND: In many developing countries, a significant number of breast cancer patients are unable to receive timely treatment due large population base, high patient numbers, and limited medical resources. OBJECTIVE: This paper proposes assisted diagnosis system based on electronic records. The goal this is address the limitations existing systems, which primarily rely structured records may miss crucial information stored in unstructured METHODS: proposed approach utilizes enhanced...
Digital pathology images' extensive cellular information provide a trustworthy foundation for tumor diagnosis. With the aid of computer-aided diagnostics, pathologists can locate crucial more quickly. The cascade structure refines segmentation results by utilizing its multi-task and multi-stage characteristics. However, cascade-based models require downsampling cropping patches during inference process due to ultra-high resolution complex images. This not only increases cost computation time...
Telematics technology development offers vehicles a range of intelligent and convenient functions, including navigation mapping services, driving assistance, traffic management. However, since these functions deal with sensitive information like vehicle location habits, it is crucial to address concerns regarding security privacy protection. Federated learning (FL) highly suitable for addressing such problems due its characteristics, in which client does not need share private data upload...
Importance Cytokine storm (CS) is a hyperinflammatory syndrome causing multiorgan dysfunction and high mortality, especially in patients with malignant hematologic neoplasms. Triggers include neoplasm–associated hemophagocytic lymphohistiocytosis (MN-HLH), cytokine release from chimeric antigen receptor T-cell therapy (CAR-T CRS), COVID-19, but the underlying mechanisms of inflammation their impact on outcomes are poorly understood. Objective To delineate inflammatory patterns characterizing...
The levels of miR-93, miR-191, and miR-499 have been reported to be up-regulated in the tissues experimental traumatic brain injury (TBI) rat models. However, clinical diagnostic prognostic values serum signatures these 3 miRNAs TBI remain unclear. purpose this study was determine expression microRNAs (miRNAs) sera patients evaluate their relationships with severity outcome TBI. were assessed (n = 76) healthy controls 38) by quantitative reverse-transcription PCR. severities outcomes...
Abstract Background Dysregulation of N6-methyladenosine (m6A) is associated with various human diseases including cancer. This study aimed to evaluate the level m6A as a biomarker for gastric cancer (GC) diagnosis. Methods Peripheral blood samples were collected from 100 GC patients, 30 benign disease (BGD) and 75 healthy controls (HCs). Levels in total RNA expression m6A-related proteins analyzed. Results The levels peripheral significantly increased group compared those BGD or HC groups;...
Abstract Renal ischemia‐reperfusion injury (IRI) is one of the most common causes acute kidney (AKI), which closely related to high morbidity and mortality. However, pathogenesis underlying renal IRI complex not fully defined. N6‐methyladenosine (m6A) was recently found be an abundant modification in mammalian messenger RNAs. It implicated various biological processes, while role m6A illustrated. Here we show that m6A‐methylated RNA level its methyltransferase METTL14 are elevated human AKI...
In developing countries, the management of chronic diseases in elderly is challenging because limited medical resources and a large population. Hospitals cannot quickly provide treatment for elderly. This article discusses mobile-medical-based system that uses effective data decision-making wireless network communication to assist implementing remote services proposes deep learning model-combined sparse autoencoder (CSAE) module. The model autoencoders process patient detection monitoring...
According to statistics, in the 185 countries' 36 types of cancer, morbidity and mortality lung cancer take first place, non-small cell (NSCLC) accounts for 85% (International Agency Research on Cancer, 2018), (Bray <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">et al.</i> , 2018). Significantly many developing countries, limited medical resources excess population seriously affect diagnosis treatment alung patients. The 21st century is an...
With the popularization of Internet Things technology and improvement 5G communication technology, influence mobile devices on network structure is increasing. The in are usually regarded as social users that transmit information. Because movement dynamic random, it more difficult for complex networks to grasp changing rules their topological structure. data transmission model established by considering only historical behavior can no longer meet demand fast large-capacity data. Based this,...