A5088297805- Osteoarthritis Treatment and Mechanisms
- Radiomics and Machine Learning in Medical Imaging
- Temporomandibular Joint Disorders
- Medical Imaging and Analysis
- Medical Imaging Techniques and Applications
- Cloud Computing and Resource Management
- Bone and Joint Diseases
- Liver Disease Diagnosis and Treatment
- Bone Metabolism and Diseases
- Air Traffic Management and Optimization
- Heterotopic Ossification and Related Conditions
- Advanced Data Storage Technologies
- Ferroptosis and cancer prognosis
- Genetic Associations and Epidemiology
- Cell Adhesion Molecules Research
- Hedgehog Signaling Pathway Studies
- Alkaline Phosphatase Research Studies
- Musculoskeletal synovial abnormalities and treatments
- Periodontal Regeneration and Treatments
- Lung Cancer Diagnosis and Treatment
- Esophageal Cancer Research and Treatment
Fuzhou Second Hospital
2025
Shenzhen Research Institute of Big Data
2024
Fisher College
2024
Wuhan Ship Development & Design Institute
2023
Air Force Medical University
2015-2018
Osteoarthritis (OA) of the temporomandibular joint (TMJ) is associated with dental biomechanics. A major change during OA progression ossification osteochondral interface. This study investigated formation, radiological detectability, and mechanical property interface at an early stage, pathogenesis significance which in clinical interest remains elusive for TMJ. Unilateral anterior crossbite (UAC) was performed on 6-wk-old rats as we previously reported. TMJs were harvested 4, 12, 20 wk....
ABSTRACT Objective Several observational studies have identified an association between plasma proteins and hepatocellular carcinoma (HCC). This study aimed to explore the potential causal relationship circulating protein‐to‐protein ratio morbidity risk of HCC. Methods Genetic data for 2821 ratios were sourced from UKB PPP Suhre's study. HCC FinnGen cohort (finngen‐R11‐HCC) IEU OpenGWAS project (ieu‐b‐4953). Subsequently, a two‐sample Mendelian randomization (MR) drug‐targeted MR approach...
Summary Temporomandibular joint ( TMJ ) displays a high remodelling capability. The current purpose was to investigate the differences between mandibular condylar responses of growing mice installation and removal unilateral anterior crossbite UAC prosthesis. Twenty‐four were divided into one mock control group two groups. Unilateral created by installing pair prosthesis left‐side maxillary incisors. removed in at 3 weeks but remained group. joints sampled 7 weeks. Changes cartilage...
Abstract Objective To investigate the feasibility and accuracy of predicting locoregional recurrence (LR) in elderly patients with esophageal squamous cell cancer (ESCC) who underwent radical radiotherapy using a pairwise machine learning algorithm. Methods The 130 datasets enrolled were randomly divided into training set testing 7:3 ratio. Clinical factors included radiomics features extracted from pretreatment CT scans pyradiomics-based software, naive Bayes (NB) model was developed....
Summary Activated calcium‐/calmodulin‐dependent protein kinaseII (Ca MK II) is important to promote chondrocytes from proliferative pre‐hypertrophic state, which probably plays a role in osteoarthritis ( OA ), widespread degeneration disease with enhanced aberrant chondrocyte differentiation. Our aim was detect the of Ca II, and its relationship feedback loop Indian hedgehog (Ihh) Parathyroid‐related peptide (PTHrP) temporomandibular joints TMJ s) . KN 93, competitive inhibitor added culture...
The interference of overlapping bones and pulmonary structures can reduce the effectiveness Chest X-ray (CXR) examinations. Bone suppression techniques have been developed to improve diagnostic accuracy. Dual-energy subtraction (DES) imaging, a common method for bone suppression, is costly exposes patients higher radiation levels. Deep learning-based image generation methods proposed as alternatives, however, they often fail produce high-quality high-resolution images, resulting in loss...
This article uses machine learning algorithms to predict the latency of an IO request without additional internal information on device, treating it as a black box model equipment performance prediction. Different from such CART in machines used amounts prediction, this paper mainly analyzes impact attributes prediction and implements compares multiple different workloads. Based GBDT algorithm attribute selection algorithm, metrics (attribute sets). It proposes that using "lastdelay" can...