A5041242363- Biomedical Text Mining and Ontologies
- Machine Learning in Healthcare
- Semantic Web and Ontologies
- Topic Modeling
- Artificial Intelligence in Healthcare
- Sepsis Diagnosis and Treatment
- Natural Language Processing Techniques
- Radiomics and Machine Learning in Medical Imaging
- Data Quality and Management
- Electronic Health Records Systems
- RNA and protein synthesis mechanisms
- Advanced Text Analysis Techniques
- Plant Virus Research Studies
- Supercapacitor Materials and Fabrication
- COVID-19 epidemiological studies
- HIV Research and Treatment
- Hemodynamic Monitoring and Therapy
- RNA Research and Splicing
- Advanced Computational Techniques and Applications
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Gallbladder and Bile Duct Disorders
- Research Data Management Practices
- Viral Infections and Immunology Research
- COVID-19 diagnosis using AI
- Immune Cell Function and Interaction
Institute of Solid State Physics
2023-2024
Chinese Academy of Sciences
2009-2024
Hefei Institutes of Physical Science
2023-2024
University of Science and Technology of China
2020-2024
Yale University
2023-2024
Shandong University
2024
Digital China Health (China)
2019-2023
Chinese People's Liberation Army
2022
Chinese PLA General Hospital
2022
Anhui Provincial Hospital
2020-2021
ABSTRACT Background With the outbreak of coronavirus disease 2019 (COVID-19), a sudden case increase in late February 2020 led to deep concern globally. Italy, South Korea, Iran, France, Germany, Spain, US and Japan are probably countries with most severe outbreaks. Collecting epidemiological data predicting epidemic trends important for development measurement public intervention strategies. Epidemic prediction results yielded by different mathematical models inconsistent; therefore, we...
Abstract Several parameters of preoperative complete blood count (CBC) and inflammation-associated cell markers derived from them have been reported to correlate with prognosis in patients epithelial ovarian cancer (EOC), but their prognostic importance optimal cutoffs are still needed be elucidated. Clinic/pathological parameters, 5-year follow-up data CBC were obtained retrospectively 654 EOC underwent primary surgery at Mayo Clinic. Cutoffs for neutrophil-to-lymphocyte ratio (NLR),...
Background: Early prediction of the clinical outcome patients with sepsis is great significance and can guide treatment reduce mortality patients. However, it clinically difficult for clinicians. Methods: A total 2,224 were involved over a 3-year period (2016–2018) in intensive care unit (ICU) Peking Union Medical College Hospital. With all key medical data from first 6 h ICU, three machine learning models, logistic regression, random forest, XGBoost, used to predict mortality, severity...
Patients with ulcerative colitis (UC) have low response rates to anti-integrin medications, necessitating the identification of noninvasive biomarkers for predicting remission therapy. In this study, patients moderate severe UC commencing therapy (n = 29), inactive mild 13), and healthy controls 11) were selected. Besides clinical evaluation, fecal samples collected at baseline week 14 from patients. The was defined based on Mayo score. Fecal assessed 16S rRNA gene sequencing, liquid...
Abstract Objective In acupuncture therapy, the accurate location of acupoints is essential for its effectiveness. The advanced language understanding capabilities large models (LLMs) like Generative Pre-trained Transformers (GPTs) and Llama present a significant opportunity extracting relations related to acupoint locations from textual knowledge sources. This study aims explore performance LLMs in acupoint-related assess impact fine-tuning on GPT’s performance. Materials Methods We utilized...
The replication of positive-strand RNA viral genomes involves various cis-acting sequences. Generally, regulatory sequences are present at or near genomic termini; however, internal elements (IREs) also exist. Here we report the structural and functional characterization an IRE in readthrough portion p92 polymerase gene Tomato bushy stunt virus. Analysis this element context a noncoding defective interfering revealed core structure composed two noncontiguous segments sequence that interact...
Hepatitis C virus (HCV) genomes and proteins are present in human brain tissues although the impact of HIV/HCV co-infection on neuropathogenesis remains unclear. Herein, we investigate HCV infectivity effects neuronal survival neuroinflammation conjunction with HIV infection.Human microglia, astrocyte neuron cultures were infected cell culture-derived or exposed to core protein without HIV-1 infection Viral Protein R (Vpr) exposure. Host immune gene expression viability measured. Patch-clamp...
Abstract Objective To design, develop, and evaluate a scalable clinical data normalization pipeline for standardizing unstructured electronic health record (EHR) leveraging the HL7 Fast Healthcare Interoperability Resources (FHIR) specification. Methods We established an FHIR-based known as NLP2FHIR that mainly comprises: (1) module core natural language processing (NLP) engine with type system; (2) integrating structured data; (3) content normalization. evaluated FHIR modeling capability...
Understanding the transmission dynamics of COVID-19 is crucial for evaluating spread pattern it, especially in metropolitan areas China which may cause secondary outbreaks outside Wuhan, center new coronavirus disease outbreak. We used reported data from Jan 24, 2020, to Feb 23, fitted model infection, and on number cases estimate likely infections four high risk areas, as well facilitate understanding COVID-19's pattern. A group SERI statistical parameters were estimated using Markov Chain...
Background There is currently a lack of model for predicting the occurrence venous thromboembolism (VTE) in patients with lung cancer. Machine learning (ML) techniques are being increasingly adapted use medical field because their capabilities intelligent analysis and scalability. This study aimed to develop validate ML models predict incidence VTE among cancer patients. Methods Data from Grade 3A hospital China without were included. Patient characteristics clinical predictors related...
Enhancing the energy storage capacity of carbon electrodes is a key challenge to developing high-performance supercapacitors. In this study, we design an oxygen-enriched hierarchical nanoporous electrode using laser fabrication and subsequent electrochemical activation, which demonstrates superior capacity. The first obtained through carbonization phenolic resin under instantaneous high temperature induced by laser, resulting in multiple ion transport channels specific capacitance 64.17 mF...
This study constructs an acupuncture knowledge graph (AcuKG) to systematically organize and represent acupuncture-related in a structured scalable format. By extracting integrating from diverse data sources, covering indication, treatment efficacy, practice guidelines, clinical research etc., AcuKG enhances discovery utilization while improving interoperability the field of acupuncture. To achieve this, we employ multiple methods, including entity recognition, term normalization, semantic...
Nanobodies which are single-domain antibodies derived from the Variable Heavy domain of Heavy-chain-only (VHHs) found in camels and sharks, represent a novel approach for enhancing detection neutralization food toxins. Botulinum neurotoxin (BoNT), potent produced by Clostridium botulinum, can cause severe poisoning even minimal amounts (approximately 1 - 2 ng/kg), necessitating development highly sensitive methods. In this study, we recombinantly synthesized nanobodies ALc-B8 (A8)...
Plus-strand RNA viruses contain elements within their genomes that mediate a variety of fundamental viral processes. The traditional view these is local structures. This perspective, however, changing due to increasing discoveries functional are formed by long-range RNA–RNA interactions, often spanning thousands nucleotides. plus-strand tombusviruses exemplify this concept possessing different interactions regulate both translation and transcription. Here we report third tombusvirus process,...
Abstract Background Although protective mechanical ventilation (MV) has been used in a variety of applications, lung injury may occur both patients with and without acute respiratory distress syndrome (ARDS). The purpose this study is to use machine learning identify clinical phenotypes for critically ill MV intensive care units (ICUs). Methods A retrospective cohort was conducted 5013 who had undergone treatment the Department Critical Care Medicine, Peking Union Medical College Hospital....
Significance RNA helicases play critical roles in multiple biological processes. However, little vivo data are available because of the lethality mice completely deficient helicases. Here, we generate with conditional knockout DEAD-box Helicase 15 (Dhx15) intestine, which found a specific defect antimicrobial peptide (AMP) α-defensins Paneth cells. Additionally, that Dhx15-specific depletion intestine leads to susceptibility enteric bacterial infection as well dextran sulfate sodium-induced...
Background and aims Currently, there are still no definitive consensus in the treatment of intrahepatic cholangiocarcinoma (iCCA). This study aimed to build a clinical decision support tool based on machine learning using Surveillance, Epidemiology, End Results (SEER) database data from Fifth Medical Center PLA General Hospital China.Methods 4,398 eligible patients SEER 504 hospital data, who presented with histologically proven iCCA, were enrolled for modeling by cross-validation learning....