A5065559740- COVID-19 diagnosis using AI
- COVID-19 Clinical Research Studies
- Liver Disease Diagnosis and Treatment
- Advanced Malware Detection Techniques
- Data-Driven Disease Surveillance
- COVID-19 epidemiological studies
- Network Security and Intrusion Detection
- Mobile Crowdsensing and Crowdsourcing
- Liver Disease and Transplantation
- Herpesvirus Infections and Treatments
- Medical Research and Treatments
- Ferroptosis and cancer prognosis
- Machine Learning in Healthcare
- Human Mobility and Location-Based Analysis
- Hemoglobinopathies and Related Disorders
- Hepatitis Viruses Studies and Epidemiology
- Long-Term Effects of COVID-19
- Neuroendocrine Tumor Research Advances
- Radiation Effects and Dosimetry
- Indoor and Outdoor Localization Technologies
- LGBTQ Health, Identity, and Policy
- Effects of Radiation Exposure
- Adversarial Robustness in Machine Learning
- Epigenetics and DNA Methylation
- Traditional Chinese Medicine Studies
Jiangsu Provincial Center for Disease Control and Prevention
2017-2025
Peking Union Medical College Hospital
1993-2024
Chinese Academy of Medical Sciences & Peking Union Medical College
1990-2024
Nanjing Health and Health Commission
2021-2023
Guangzhou University of Chinese Medicine
2011-2022
First Affiliated Hospital of Guangzhou University of Chinese Medicine
2022
Zhejiang University
2022
Hangzhou Dianzi University
2018-2021
Central South University
2019-2021
Affiliated Hospital of Southwest Medical University
2019-2020
MEC is able to be used execute the compute- intensive applications on edge of transportation networks directly. As a result, communications traffic substantially increased among connected devices. Therewith, security emerging as serious problem, and an important research issue security, active feature learning studied in this article for actively detecting unknown attacks. A model based deep designed learn attack features. This uses unsupervised accomplish process. In evaluation, 10 datasets...
Background Effectively and efficiently diagnosing patients who have COVID-19 with the accurate clinical type of disease is essential to achieve optimal outcomes for as well reduce risk overloading health care system. Currently, severe nonsevere types are differentiated by only a few features, which do not comprehensively characterize complicated pathological, physiological, immunological responses SARS-CoV-2 infection in different types. In addition, these type-defining features may be...
Background Effectively identifying patients with COVID-19 using nonpolymerase chain reaction biomedical data is critical for achieving optimal clinical outcomes. Currently, there a lack of comprehensive understanding in various features and appropriate analytical approaches enabling the early detection effective diagnosis COVID-19. Objective We aimed to combine low-dimensional lab testing data, as well high-dimensional computed tomography (CT) imaging accurately differentiate between healthy...
High lead (Pb) burden in humans disrupts bone homeostasis and can induce osteoporosis. Here, we report that osteoclast-derived exosomes (OC-Exos) were enriched the plasma of patients with low mineral density (BMD) Pb-exposure. Osteoclasts secrete microRNA-enriched exosomes, through which miR-30a-3p is transferred to osteoblasts pyroptosis, leading aggravation loss. Mechanistically, OC-Exo-packaged triggered pyroptosis by stimulating NLRP3 inflammasome, activating caspase-1 pathway,...
Mobile edge computing (MEC) is a promising approach for enabling cloud-computing capabilities at the of cellular networks. Nonetheless, security becoming an increasingly important issue in MEC-based applications. In this paper, we propose deep-learning-based model to detect threats. The uses unsupervised learning automate detection process, and location information as feature improve performance detection. Our proposed can be used malicious applications network, which serious threat....
Effectively and efficiently diagnosing COVID-19 patients with accurate clinical type is essential to achieve optimal outcomes of the as well reducing risk overloading healthcare system. Currently, severe non-severe types are differentiated by only a few features, which do not comprehensively characterize complicated pathological, physiological, immunological responses SARS-CoV-2 invasion in different types. In this study, we recruited 214 confirmed 148 type, from Wuhan, China. The patients'...
Irritable bowel syndrome (IBS) associated with anxiety or depression is ubiquitous in clinical practice, and multiple related articles have been published. However, studies that utilize bibliometric analyses to address this topic are rare. In our study, we aimed reveal research trends IBS depression. Publications on relation the last 20 years were obtained from Web of Science Core Collection (WoSCC). CiteSpace software (5.8.R3) GraphPad Prism 8 used perform analysis authors, countries,...
Background Stroke is the second leading cause of death and third disability worldwide, with ischemic stroke (IS) being most prevalent. A substantial number irreversible brain cell occur in short term, to impairment or IS. Limiting loss cells primary therapy target a significant clinical issue for IS therapy. Our study aims establish gender specificity pattern from immune infiltration four kinds cell-death perspectives improve diagnosis Methods Combining standardizing two datasets (GSE16561...
Background and AimsThe pathogenesis of liver fibrosis involves damage, inflammation, oxidative stress, intestinal dysfunction. Indole-3-propionic acid (IPA) has been demonstrated to have antioxidant, anti-inflammatory anticancer activities, a role in maintaining gut homeostasis. The current study aimed investigate the IPA carbon tetrachloride (CCl4)-induced explore underlying mechanisms.
Effectively and efficiently diagnosing COVID-19 patients with accurate clinical type is essential to achieve optimal outcomes for the as well reducing risk of overloading healthcare system. Currently, severe non-severe types are differentiated by only a few features, which do not comprehensively characterize complicated pathological, physiological, immunological responses SARS-CoV-2 invasion in different types. In this study, we recruited 214 confirmed 148 type, from Wuhan, China. The...
Natural killer (NK) cells are major effectors of the innate immune response and purported to play an influential role in spontaneous control HIV infection. In present study, we compared phenotypes NK peripheral blood three groups subjects with chronic HIV-1 infection, controllers, healthy donors. The results showed that CD56 + /CD16 - cell subsets decreased patients remained unchanged controllers. Notably, found people living infection had suppressed NKp80, NKp46, NKG2D expressions on...
Norovirus (NoV) is recognized as a leading cause of acute gastroenteritis (AGE) outbreaks in settings globally. Studies have shown that employees played an important role the transmission mode during some NoV outbreaks. This study aimed to investigate prevalence infection and duration shedding among outbreaks, well factors affecting duration. Specimens epidemiological data were collected from who suspected being involved or with AGE symptoms Xuhui District, Shanghai, 2015 2017. detected...
Transgender women may face the highest prevalence of HIV any population, experiencing a disproportionate burden disease frequently confirmed in surveys throughout developing and developed world. However, few studies have been conducted specifically for transgender China. This study aimed to measure explore risk factors infection diverse sample Chinese help advocate prevention care interventions this population.From July 2018 May 2019, we adapted respondent-driven sampling (RDS) approach...
The COVID-19 is sweeping the world with deadly consequences. Its contagious nature and clinical similarity to other pneumonias make separating subjects contracted non-COVID-19 viral pneumonia a priority challenge. However, testing has been greatly limited by availability cost of existing methods, even in developed countries like US. Intrigued wide routine blood tests, we propose leverage them for using power machine learning. Two proven-robust learning model families, random forests (RFs)...
Abstract Background More than 70% of patients with depression who see their doctors experience insomnia. Insomnia treatment is a very important link for treatment. Furthermore, antidepression also In acupuncture, LU-7 (Lie Que) and KID-6 (Zhao Hai), which are two the eight confluence points in meridian theory, used as main points. An embedded needle technique used, alternately, at groups to consolidate effect. These BL-15 (Xin Shu) BL-23 (Shen BL-19 (Dan N-HN-54 (An Mian). The effectiveness...
In order to transmit image data in open network, a novel encryption algorithm based on fractional Fourier transform and block-based transformation is proposed this paper. The process includes two steps: the original was divided into blocks, which were rearranged transformed using algorithm, then encrypted (FRFT) algorithm. security of depends sensitivity randomness phase mask orders FRFT. Theoretical analysis experimental results demonstrate that favorable.
Abstract Background Systemic inflammatory response is closely related to the development and prognosis of liver failure. This study aimed establish a new model combing markers including neutrophil/lymphocyte ratio (NLR) red blood cell distribution width (RDW) with several hematological testing indicators assess patients hepatitis B virus-related acute-on-chronic failure (HBV-ACLF). Methods A derivation cohort 421 validation 156 were recruited from three hospitals. Retrospectively collecting...
Background Monochorionic-triamniotic pregnancies are rare and fraught with complications. Case A case of monochorionic-triamniotic triplet pregnancy complicated by twin reversed arterial perfusion (TRAP) sequence is presented. The patient declined termination or selective fetal reduction. Triplet C was acardiac. At 24 weeks, B developed polyhydramnios. 30 polyhydramnios seen in all three amniotic sacs, but without signs hydrops normal Doppler velocimetry measurements the umbilical artery,...
Varicella vaccine (VarV) is recommended as effective post-exposure prophylaxis (PEP) within 3-5days to control outbreaks. However, the effectiveness of PEP at >5days after exposure and administration a second dose those with history one prior have not been fully examined. This study evaluated (VE) in preventing disease during varicella outbreak Shanghai, China 2013.Self-administered questionnaires were used obtain students' history, vaccination status, willingness receive PEP. One VarV was...