A5100589215- Polymer composites and self-healing
- Urological Disorders and Treatments
- Lignin and Wood Chemistry
- Tissue Engineering and Regenerative Medicine
- Radiomics and Machine Learning in Medical Imaging
- Cancer, Stress, Anesthesia, and Immune Response
- Wound Healing and Treatments
- Anesthesia and Pain Management
- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Flame retardant materials and properties
- Catalytic Processes in Materials Science
- Ocular Diseases and Behçet’s Syndrome
- Layered Double Hydroxides Synthesis and Applications
- Elevator Systems and Control
- Nuclear physics research studies
- Literature and Culture Studies
- Fish Biology and Ecology Studies
- Medical Imaging Techniques and Applications
- Advancements in Solid Oxide Fuel Cells
- Congenital heart defects research
- Silk-based biomaterials and applications
- COVID-19 diagnosis using AI
- MXene and MAX Phase Materials
- Carbon dioxide utilization in catalysis
Dalian Medical University
2024
Central South University
2024
Shaanxi University of Science and Technology
2023-2024
Qinzhou Maternity and Child Health Care Hospital
2024
First Affiliated Hospital of Shantou University Medical College
2024
People's Hospital of Shiyan
2024
Shanxi Fenyang Hospital
2024
Shanxi Medical University
2024
Shantou University
2024
First Hospital of Qinhuangdao
2023
Abstract Extracellular vesicles (EVs) have recently received increasing attention as essential mediators of communication between tumor cells and their microenvironments. Tumor-associated macrophages (TAMs) play a proangiogenic role in various tumors, especially head neck squamous cell carcinoma (HNSCC), angiogenesis is closely related to growth metastasis. This research focused on exploring the mechanisms by which EVs derived from TAMs modulate HNSCC. Our results indicated that infiltration...
We propose a novel approach to harness the side reaction for creation of lignin-containing, sustainable, and solvent-resistant dynamic dual network using one-pot synthesis strategy.
Automated diagnosis of chest X-rays is pivotal in radiology, aiming to alleviate the workload radiologists. Traditional methods primarily rely on visual features or label dependence, which a limitation detecting nuanced rare lesions. To address this, we present KEXNet, pioneering knowledge-enhanced X-ray lesion detection model. KEXNet employs unique strategy akin expert radiologists, integrating knowledge graph based annotations with an interpretable learning approach. This novel method...
Abstract The application of spatial transcriptomic (ST) in contemporary pathology is promising yet rarely validated. We herein established a ST-based platform to analyze colorectal cancers following the logic and workflow routine histopathological diagnosis. By integrating coordinate traits with in-situ gene expression matrix, we reproduced extended key diagnostic features for tumor diagnosis molecular analysis including proliferation evaluation, vasculature identification, immune scoring...
To evaluate the efficacy of ultrasound-guided intercostal nerve block in managing pain and physiological responses patients undergoing radical mastectomy for breast cancer. A retrospective study analyzed 120 scheduled to undergo our hospital between January 2022 December 2023. Depending on type anesthesia received, participants were assigned experimental group (60 patients) receive intravenous general anesthesia, or control only. Both groups will utilize patient-controlled analgesia (PCIA)...
Polypoidal choroidal vasculopathy (PCV) is a kind of fundus disease characterized by anomalous branch vascular network and terminal polypoidal dilatation.The pathological basis idiopathic neovascularization similar to age-related macular degeneration (AMD). It controversial that whether PCV AMD the same disease.Optical coherence tomography angiography (OCTA) new, noninvasive imaging technique plays an important role in clinical practice.OCTA not only provides B-scans retina, but also offers...
Computed tomography has made significant advances since its introduction in the early 1970s, where researchers have mainly focused on quality of image reconstruction stage. However, radiation exposure poses a health risk, prompting demand lowest possible dose when carrying out CT examinations. To acquire high-quality images with low radiation, techniques evolved from conventional such as analytical and iterative reconstruction, to methods based artificial intelligence (AI). All these efforts...