A5100342078- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
- Digital Imaging for Blood Diseases
- Viral gastroenteritis research and epidemiology
- COVID-19 diagnosis using AI
- Antifungal resistance and susceptibility
- SARS-CoV-2 and COVID-19 Research
- AI in cancer detection
- Face and Expression Recognition
- Image and Signal Denoising Methods
- SARS-CoV-2 detection and testing
- Parasitic Diseases Research and Treatment
- HIV Research and Treatment
- Music and Audio Processing
- Animal Virus Infections Studies
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Fungal Infections and Studies
- Text and Document Classification Technologies
- Biosensors and Analytical Detection
- HIV/AIDS drug development and treatment
- Advanced Vision and Imaging
- Cell Image Analysis Techniques
- COVID-19 Clinical Research Studies
- Pneumocystis jirovecii pneumonia detection and treatment
Xiamen Chang Gung Hospital
2025
South China Agricultural University
2025
Key Laboratory of Guangdong Province
2025
Guangzhou Center for Disease Control and Prevention
2025
Universidad Politécnica de Madrid
2018-2024
Shenzhen Second People's Hospital
2024
Shenzhen University Health Science Center
2024
Duke University
2024
Hangzhou DAC Biotech (China)
2024
Shenzhen Technology University
2022-2024
This article reports on a noninvasive approach in detecting and following-up individuals who are at-risk or have an existing COVID-19 infection, with potential ability to serve as epidemic control tool. The proposed method uses developed breath device composed of nanomaterial-based hybrid sensor array multiplexed detection capabilities that can detect disease-specific biomarkers from exhaled breath, thus enabling rapid accurate diagnosis. An exploratory clinical study this was examined...
Mucormycosis causes mortality in at least 50% of cases despite current first-line therapies. Clinical and animal data indicate that the presence elevated available serum iron predisposes host to mucormycosis. Here we demonstrate deferasirox, an chelator recently approved for use humans by US FDA, is a highly effective treatment Deferasirox effectively chelated from Rhizopus oryzae demonstrated cidal activity vitro against 28 29 clinical isolates Mucorales concentrations well below clinically...
Patients with diabetic ketoacidosis (DKA) are uniquely predisposed to mucormycosis, an angioinvasive fungal infection high mortality. Previously, we demonstrated that Rhizopus invades the endothelium via binding of CotH proteins host receptor GRP78. Here, report surface expression GRP78 is increased in endothelial cells exposed physiological concentrations β-hydroxy butyrate (BHB), glucose, and iron similar those found DKA patients. Additionally, R. oryzae was within hours incubation...
Soil-transmitted helminths (STH) are the most prevalent pathogens among group of neglected tropical diseases (NTDs). The Kato-Katz technique is diagnosis method recommended by World Health Organization (WHO) although it often presents a decreased sensitivity in low transmission settings and labour intensive. Visual reading preparations requires samples to be analyzed short period time since its preparation. Digitizing could provide solution which allows store digital database perform remote...
Community-acquired pneumonia (CAP) is a frequent reason for emergency department visits and leads to increased direct medical costs, particularly due hospitalisation. This study aims examine the differences between planned re-infusion therapy hospitalisation in patients with CAP. retrospective case-control involved 1889 CAP treated at Emergency Internal Medicine Department of Class A tertiary Hospital China from 1 January 2020 31 December 2022. Patients were divided into groups receiving...
Chagas disease affects 6–7 million people worldwide and causes approximately 12,000 deaths annually. Diagnostic methods vary by stage, with serological tests commonly used in the chronic phase, while microscopy molecular techniques like PCR LAMP are employed acute phase. While remains most accessible tool resource constrained settings, its effectiveness depends on skilled personnel, creating diagnostic bottlenecks. To overcome these limitations, we developed a portable, smartphone-integrated...
The rapid increase in the amount of digital data has posed significant challenges to retrieval systems, which are expected effectively and efficiently filter provide relevant results. Filtering is a technique that automatically selects features or instances represent data, reduce storage costs, prune redundancy, decrease computation enhance model learning performance, dynamically deliver media. On other hand, ranking critical step render as many results possible on basis some loss functions...
Multimedia data on social websites contain rich semantics and are often accompanied with user-defined tags. To enhance Web media semantic concept retrieval, the fusion of tag-based content-based models can be used, though it is very challenging. In this article, a novel retrieval framework that incorporates tag removal model proposed to tackle such challenge. Tags useful information facilitate search, but they imprecise, which makes important apply noisy (by deleting uncorrelated tags)...
Semantic knowledge detection of multimedia content has become a very popular research topic in recent years. The association rule mining (ARM) technique been shown to be an efficient and accurate approach for content-based retrieval semantic concept many applications. To further improve the performance traditional technique, video framework whose classifier is built upon new weighted (WARM) algorithm proposed this article. Our WARM able capture different significance degrees items...
Content-based multimedia retrieval faces many challenges such as semantic gap, imbalanced data, and varied qualities of the media. Feature selection a component process plays an important role. The aim feature is to identify subset features by removing irrelevant or redundant features. An effective can not only improve model performance reduce computational complexity, but also enhance interpretability. To achieve these objectives, in this paper, novel metric that integrates correlation...
The fast development of microscopy imaging techniques nowadays promotes the generation a large amount data. These data are very crucial not only for theoretical biomedical research but also clinical usage. In order to decrease inter-intra observer variability and save human effort on labeling classifying these images, lot efforts have been devoted algorithms images. Among such efforts, histology image classification is one most important areas due its broad applications in pathological...
Filariasis, a neglected tropical disease caused by roundworms, is significant public health concern in many countries. Microscopic examination of blood samples can detect and differentiate parasite species, but it time consuming requires expert microscopists, resource that not always available. In this context, artificial intelligence (AI) assist the diagnosis automatically detecting differentiating microfilariae. line with target product profile for lymphatic filariasis as defined World...
Semantic concept detection has emerged as an intriguing topic in multimedia research recently. The ability to interpret high-level semantics from low-level features been the long desired goal of many researchers. In this paper, we propose a novel framework that utilizes multiple correspondence analysis (MCA) explore correlation between different items (feature-value pairs) and classes (concepts) bridge gap extracted semantic concepts. Using concepts benchmark data identified provided by...
Digital audio and video have recently taken a center stage in the communication world, which highlights importance of digital media information management indexing. It is great interest for multimedia research community to find methods solutions that could help bridge semantic gap exists between low-level features extracted from or data actual semantics data. In this paper, we propose novel framework works towards reducing gap. The proposed uses priori algorithm association rule mining...
Abstract Analysis of bone marrow aspirates (BMAs) is an essential step in the diagnosis hematological disorders. This analysis usually performed based on a visual examination samples under conventional optical microscope, which involves labor-intensive process, limited by clinical experience and subject to high observer variability. In this work, we present comprehensive digital microscopy system that enables BMA for cell type counting differentiation efficient objective manner. not only...
Abstract Background Interleukin 4 (IL-4), increased in tuberculosis infection, may impair bacterial killing. Blocking IL-4 confers benefit animal models. We evaluated safety and efficacy of pascolizumab (humanized anti–IL-4 monoclonal antibody) as adjunctive treatment. Methods Participants with rifampicin-susceptible pulmonary received a single intravenous infusion or placebo, standard 6-month Pascolizumab dose successive cohorts: (1) nonrandomized 0.05 mg/kg (n = 4); (2) 0.5 (3) randomized...
Associative classification (AC) has been studied in the areas of content-based multimedia retrieval and semantic concept detection due to its high accuracy. The traditional AC algorithm discovers association rules with frequency count (minimum support) ranking threshold confidence) while restricted concepts (class labels). In this paper, we propose a novel framework new associative which generates based on correlation between different feature-value pairs classes by using multiple...