A5061662798- Ferroptosis and cancer prognosis
- Robotic Locomotion and Control
- Human Pose and Action Recognition
- Cancer Cells and Metastasis
- Gait Recognition and Analysis
- COVID-19 and Mental Health
- Pancreatic and Hepatic Oncology Research
- Reinforcement Learning in Robotics
- Cancer Immunotherapy and Biomarkers
- RNA modifications and cancer
- Recommender Systems and Techniques
- Empathy and Medical Education
- Immunotherapy and Immune Responses
- Epigenetics and DNA Methylation
- Healthcare professionals’ stress and burnout
- Cardiovascular, Neuropeptides, and Oxidative Stress Research
- Cancer-related Molecular Pathways
- RNA Research and Splicing
- Prosthetics and Rehabilitation Robotics
- Single-cell and spatial transcriptomics
- Health, psychology, and well-being
- Galectins and Cancer Biology
- Healthcare Quality and Management
- Axon Guidance and Neuronal Signaling
- Patient-Provider Communication in Healthcare
The Affiliated Yongchuan Hospital of Chongqing Medical University
2022-2024
Chongqing Medical University
2022-2024
Shandong University
2023-2024
Abstract Utrophin (UTRN), known as a tumor suppressor, potentially regulates development and the immune microenvironment. However, its impact on breast cancer’s treatment remains unstudied. We conducted thorough examination of UTRN using both bioinformatic in vitro experiments this study. discovered expression decreased cancer compared to standard samples. High correlated with better prognosis. Drug sensitivity tests RT-qPCR assays revealed UTRN’s pivotal role tamoxifen resistance....
CDC6 is critical in DNA replication initiation, but its expression patterns and clinical implications cancer are underexplored. This study uses multi-omics data from The Cancer Genome Atlas (TCGA) to comprehensively analyze across various cancers, aiming evaluate potential as a prognostic biomarker explore role immunotherapy.
Graph Neural Networks (GNNs) have gained much more attention in the representation learning for graph-structured data. However, labels are always limited graph, which easily leads to overfitting problem and causes poor performance. To solve this problem, we propose a new framework called IGCN, short Informative Convolutional Network, where objective of IGCN is designed obtain informative embeddings via discarding task-irrelevant information graph data based on mutual information. As...
Recent studies have shown that the mediator complex (MED) plays a vital role in tumorigenesis and development, but of MED16 (mediator subunit 16) breast cancer (BC) is not clear. Increasing evidence has mTOR pathway important for tumour progression therapy. In this study, we demonstrated signalling regulated by expression level ER+ cancer. With analysis bioinformatics data clinical specimens, revealed an elevated luminal subtype tumours. We found knockdown significantly inhibited cell...
Quadruped locomotion is challenging for many learning-based algorithms. This because it requires tedious manual tuning to cope with different types of terrains and difficult deploy in reality due the sim-to-real gap between training testing scenarios. paper proposes a quadruped robot learning system agile which does not require any pre-training works well various terrains. We introduce hierarchical framework that uses reinforcement as high-level policy adjust low-level trajectory generator...
Objectives In the context of COVID-19 pandemic, general practitioners (GPs) continue to face unprecedented challenges that affect their mental health. However, few studies have assessed health status GPs. This study aimed provide preliminary understanding stress, job burn-out and well-being levels among GPs train manage them during public emergencies. Design We conducted a cross-sectional online self-report survey. Setting The survey was in Chongqing, China from July August 2022....
Breast cancer (BC) is a lethal malignancy with poor prognosis. Necroptosis critical in the progression of cancer. However, expression genes involved necroptosis BC and their association prognosis remain unclear. We investigated predictive potential necroptosis-related samples from TCGA dataset. used LASSO regression to build risk model consisting twelve BC. Using model, we were able successfully classify patients into high- low-risk groups significant prognostic differences (p = 4.872 × 10...
Abstract Background The higher professional identity of general practitioners (GPs) helps to promote the establishment hierarchical diagnosis and treatment in China. However, previous studies focus on investigation specialists. As main provider residents’ health services, GPs are basis primary care services This study aims investigate its influencing factors. Methods A cross-sectional online questionnaire survey was conducted from December 2021 January 2022, subjects were selected by...