- Liver physiology and pathology
- Cancer Mechanisms and Therapy
- Hallucinations in medical conditions
- Ferroptosis and cancer prognosis
- interferon and immune responses
- COVID-19 diagnosis using AI
- Blood groups and transfusion
- Blood properties and coagulation
- MicroRNA in disease regulation
- Drug-Induced Hepatotoxicity and Protection
- Epilepsy research and treatment
- RNA Research and Splicing
- Glioma Diagnosis and Treatment
- AI in cancer detection
- Fractal and DNA sequence analysis
- Imbalanced Data Classification Techniques
- Radiomics and Machine Learning in Medical Imaging
- Phytochemical and Pharmacological Studies
- Platelet Disorders and Treatments
- Digital Imaging for Blood Diseases
- Circular RNAs in diseases
The Third Affiliated Hospital of Zhejiang Chinese Medical University
2022-2023
Glioblastoma is one of the most common malignant tumors in brain, and these glioblastoma patients have very poor prognosis. Ferroptosis involved progression various tumors, including glioblastoma. This study aims to determine involvement microRNA (miR)-147a regulating ferroptosis vitro.Human cell lines were transfected with inhibitor, mimic matched negative controls miR-147a presence or absence ferroptotic inducers. To knock down endogenous solute carrier family 40 member 1 (SLC40A1), cells...
Despite achieving rapid developments and with widespread applications, Large Vision-Language Models (LVLMs) confront a serious challenge of being prone to generating hallucinations. An over-reliance on linguistic priors has been identified as key factor leading these In this paper, we propose alleviate problem by introducing novel image-biased decoding (IBD) technique. Our method derives the next-token probability distribution contrasting predictions from conventional LVLM those an LVLM,...
Abstract Glioblastoma multiforme (GBM) is the most common and deadly primary malignant brain tumor. As GBM tumor aggressive shows high biological heterogeneity, overall survival (OS) time extremely low even with treatment. If OS can be predicted before surgery, developing personalized treatment plans for patients will beneficial. Magnetic resonance imaging (MRI) a commonly used diagnostic tool tumors high‐resolution sound effects. However, in clinical practice, doctors mainly rely on...
Cornus officinalis, a kind of edible herbal medicine, has been widely used in the protection liver and kidney due to its medicinal nutritional effect. Its anti-inflammatory, anti-tumor, anti-oxidant activities can be enhanced by wine-steamed (WS) processing. Based on activations hepatic stellate cells-T6 (HSC-T6) HK-2, our study single-factor plus orthogonal design investigate anti-fibrosis C. officinalis processed with steamed (S), high-pressure (HPS), WS, (HPWS), wine-dipped (WD),...
Abstract Objectives Platelet clumps present in anticoagulant specimens may generate a falsely decreased platelet count and lead to an incorrect diagnosis. A clear understanding of the ability haematology analyser (HA) detect is important for routine work clinical laboratory. Methods Citrate-anticoagulated whole-blood samples were collected from various patients as negative group. Adenosine diphosphate (ADP)-induced aggregation was performed on those mimic platelet-clump-containing (positive)...
Background. Gastric cancer (GC) is a common malignancy with poor prognosis. Tripartite motif-containing 50 (TRIM50) belongs to the TRIM family and reported be related numerous cancers. This study aimed investigate function of TRIM50 in GC. Methods. Three microarray datasets (GSE13911, GSE79973, GSE19826) containing GC adjacent nontumor tissues were used for bioinformatics analysis screen GC-related genes assess associations between development expression. Then, expression cells was detected...
Mainstream haematology analysers (HAs) are reported to have low detection sensitivity for platelet clumps. In this study, a deep learning (DL) algorithm, convolutional neural network (CNN), was implemented detect clumps.Adenosine diphosphate (ADP) used induce aggregation mimic clumps detected (PCD) samples. Six types of leukocyte scattergrams were collected from the Sysmex XN-10. Then, multiple CNNs trained and validated by in fivefold cross-validation (CV) method. Finally, CNN model with...