- RNA modifications and cancer
- Cellular Mechanics and Interactions
- MicroRNA in disease regulation
- Blockchain Technology Applications and Security
- Image Processing Techniques and Applications
- Digital Rights Management and Security
- Histone Deacetylase Inhibitors Research
- Geochemistry and Geologic Mapping
- Adipokines, Inflammation, and Metabolic Diseases
- Machine Learning in Healthcare
- Atmospheric and Environmental Gas Dynamics
- 3D Printing in Biomedical Research
- Geographic Information Systems Studies
- Extracellular vesicles in disease
- Force Microscopy Techniques and Applications
- Energy Load and Power Forecasting
- Cloud Data Security Solutions
- Bone Tissue Engineering Materials
- Photoacoustic and Ultrasonic Imaging
- Cancer-related gene regulation
- Circular RNAs in diseases
- Synthesis and biological activity
- Atherosclerosis and Cardiovascular Diseases
- Ferroptosis and cancer prognosis
- Model Reduction and Neural Networks
Ollscoil na Gaillimhe – University of Galway
2025
Liaoning University of Traditional Chinese Medicine
2025
Wenzhou Medical University
2023-2024
Wuhan National Laboratory for Optoelectronics
2024
Huazhong University of Science and Technology
2024
Changchun University of Science and Technology
2022-2023
Guangzhou University of Chinese Medicine
2022
Objective: This study aimed to investigate the potential mechanisms and biomarkers between Obesity (OB) carotid atherosclerosis (CAS). Methods: The GSE12828, GSE125771, GSE43292, GSE100927 datasets were combined normalized obtain CAS-related differentially expressed genes (DEGs), OB-related DEGs obtained from GSE151839 dataset GeneCards database. Unsupervised cluster analysis was conducted on CAS samples based of OB. Subsequently, immune infiltration gene set enrichment (GESA) performed. 61...
Combining geospatial analysis with machine learning creates a novel synergy beyond conventional approaches to comprehending our spatial surroundings. The ability of recognize intricate patterns and connections within data has made it an indispensable instrument for analysts. This integration makes complex analyses satellite imagery, climatic data, geographic possible, providing previously insights obtain via manual or rule-based methods.
While large language models (LLMs) present significant potential for supporting numerous real-world applications and delivering positive social impacts, they still face challenges in terms of the inherent risk privacy leakage, hallucinated outputs, value misalignment, can be maliciously used generating toxic content unethical purposes after been jailbroken. Therefore, this survey, we a comprehensive review recent advancements aimed at mitigating these issues, organized across four phases LLM...
Abstract Background Hepatocellular carcinoma (HCC) is one of the most common malignant tumors worldwide, it has a poor prognosis due to its highly invasive and metastatic nature. Consequently, identifying effective prognostic markers potential therapeutic targets been extensively investigated. METTL5, an 18S rRNA methyltransferase, abnormally high in HCC. But biological function significance HCC remain largely unelucidated. This study aimed investigate role METTL5 progression, elucidate...
Background A variety of proteins including epigenetic factors are involved in the differentiation human bone marrow mesenchymal stem cells. These cells also exhibited an plasticity that enabled them to trans-differentiate from adipocytes osteoblasts (and vice versa) after commitment. Further in-depth study their alterations may make sense. Methods Chromatin Immunoprecipitation-PCR (ChIP-PCR) was used detect methylation enrichment status H3K9me2 Runx2 promoter, alizarin red and alkaline...
Hepatocellular carcinoma (HCC) is the second malignancy worldwide. POLA2 initiates DNA replication, regulates cell cycle and gene repair that promote tumorigenesis disease progression. However, prognostic biological function roles of in HCC had not been conclusively determined.The expression levels prognosis role POLA1 were analyzed based on TCGA-LIHC database recruited 24 patients. Gene mutations using "maftools" package. immune cells correlations by TIMER. co-expressed genes functional...
In order to prevent the re-emergence of an epidemic, predicting its trend while gaining insight into intrinsic factors affecting it is a key issue in urban governance. Traditional SIR-like compartment models provide explanatory parameters outbreak, and vast majority existing deep learning can predict course outbreak well, but neither performs well other’s domain. Simultaneously, studying commonalities diversities causes outbreaks among different countrywide regions also way interrupt...
Abstract Macrophages and neutrophil play a key role in the initiation recovery of liver ischemia reperfusion injury (IRI) through transitions phenotype induces inflammation, However, mechanisms governing these damages have yet to be fully elucidated. Exosomes emerged as an important mediator cellular crosstalk various physiological pathological processes. This study explored exosomal miRNA macrophage polarization IRI. Through high-throughput sequencing small RNAs exosomes, we identified...