A5101711861- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases
- Cell Adhesion Molecules Research
- Retinoids in leukemia and cellular processes
- Pneumonia and Respiratory Infections
- Neonatal Respiratory Health Research
- Respiratory Support and Mechanisms
- Glycosylation and Glycoproteins Research
- Medical Image Segmentation Techniques
- Congenital limb and hand anomalies
- Wnt/β-catenin signaling in development and cancer
- Acute Myeloid Leukemia Research
- Bioactive natural compounds
- Emergency and Acute Care Studies
- Respiratory viral infections research
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
- Nitric Oxide and Endothelin Effects
- RNA Interference and Gene Delivery
- Brain Tumor Detection and Classification
- Sarcoma Diagnosis and Treatment
- Cancer, Hypoxia, and Metabolism
- Infant Development and Preterm Care
Affiliated Hospital of Nantong University
2024
Nantong University
2024
Sichuan University
2023-2024
West China Second University Hospital of Sichuan University
2023-2024
Huazhong Agricultural University
2024
Hunan University
2013-2024
Soochow University
2024
Huaian First People’s Hospital
2019-2023
First People's Hospital of Yunnan Province
2019-2021
Shanghai Customs College
2020
Abstract A recent study has discovered that mesenchymal stem cells (MSCs) are recruited into tumors and MSC‐derived exosomes in a novel mechanism of cell‐to‐cell communication human cancers. Here, this study, we explore the impact microRNA‐208a (miR‐208a)‐enriched derived from bone marrow‐derived (BMSCs) on osteosarcoma cells. Human MG‐63 Saos‐2 were exposed to BMSCs‐derived treated with either miR‐208a mimic or inhibitor. The MTT assay, transwell migration soft agar colony formation assay...
Bone malignant tumors are metastatic and aggressive, with poor treatment outcomes prognosis. Rapid accurate diagnosis is crucial for limb salvage increasing the survival rate. There a lack of research on deep learning to segment bone tumor lesions in medical images complex backgrounds blurred boundaries. Therefore, we propose new intelligent auxiliary framework image segmentation lesions, which consists supervised edge-attention guidance network (SEAGNET). We design boundary key points...
Osteosarcoma is one of the most common bone tumors that occurs in adolescents. Doctors often use magnetic resonance imaging (MRI) through biosensors to diagnose and predict osteosarcoma. However, a number osteosarcoma MRI images have problem tumor shape boundary being vague, complex, or irregular, which causes doctors encounter difficulties diagnosis also makes some deep learning methods lose segmentation details as well fail locate region In this article, we propose novel boundary-aware...
Histopathological examination is an important criterion in the clinical diagnosis of osteosarcoma. With improvement hardware technology and computing power, pathological image analysis systems based on artificial intelligence have been widely used. However, classifying numerous intricate pathology images by hand a tiresome task for pathologists. The lack labeling data makes system costly difficult to build. This study constructs classification assistance (OHIcsA) active learning (AL)...
B cell acute lymphoid leukemia uses the mitochondrial respiration as main energy source that enhances drug resistance.
Osteosarcoma is a bone tumor which malignant. There are many difficulties when doctors manually identify patients' MRI images to complete the diagnosis. The osteosarcoma in very complex, making its recognition and segmentation resource-consuming. Automatic area can solve these problems certain extent. However, existing studies usually fail balance accuracy efficiency. They either sensitive noise with low or time-consuming. So we propose an auxiliary method based on denoising local...
One of the most prevalent malignant bone tumors is osteosarcoma. The diagnosis and treatment cycle are long prognosis poor. It takes a lot time to manually identify osteosarcoma from magnetic resonance imaging (MRI). Medical image processing technology has greatly alleviated problems faced by medical diagnoses. However, MRI images characterized high noise blurred edges. complex features increase difficulty lesion area identification. Therefore, this study proposes an segmentation method...
Osteosarcoma is a malignant tumor derived from primitive osteogenic mesenchymal cells, which extremely harmful to the human body and has high mortality rate. Early diagnosis treatment of this disease necessary improve survival rate patients, MRI an effective tool for detecting osteosarcoma. However, due complex structure variable location osteosarcoma, cancer cells are highly heterogeneous prone aggregation overlap, making it easy doctors inaccurately predict area lesion. In addition, in...
Abstract Artificial intelligence decision systems play an important supporting role in the field of medical information. Medical image analysis is part and even more diagnosis treatment. The wealth cellular information histopathological images makes them a reliable means diagnosing tumors. However, due to large size, high resolution, complex background structure pathology images, deep learning methods still have various difficulties recognition images. Based on this, this study proposes...
The Arabidopsis mutant npq1, which cannot accumulate zeaxanthin because of a defective violaxanthin deepoxidase, was used to investigate the role in stomatal response blue light. Neither dark-adapted nor light-treated guard cells or mesophyll npq1 contained detectable zeaxanthin. In contrast, wildtype had significant content dark and accumulated large amounts when illuminated. welt-documented red light enhancement light-stimulated opening, creasing fluence rates background result increased...
Hydroxytyrosol (HT) and oleuropein (OL), the most abundant of phenolic compounds in olives, have anticancer properties against breast cancer (BC). However, little attention has been paid to mechanism HT or OL BC cells. The objective this study was identify underlying molecular mechanisms these compounds. ER-positive MCF7 T47D cells were treated with combination hepatocyte growth factor (HGF), rapamycin (Rapa, an agonist autophagy) 3-methyladenine (3-MA, inhibitor autophagy). Cell viability,...
Objectives To depict the seasonality and age variations of community-acquired pneumonia (CAP) incidence in context COVID-19 impact. Design Retrospective cohort study. Participants The observational study was conducted at Soochow University Affiliated Children’s Hospital from January 2017 to June 2021 involved 132 797 children born or 2018. They were followed identified CAP episodes by screening on Health Information Systems outpatients inpatients same hospital. Outcome defined when diagnoses...
We have shown previously that extracellular cysteine is necessary for cellular responses to S-nitrosoalbumin. In this study we investigated mechanisms involved in accumulation of outside vascular smooth muscle cells and characterized the role cystine-cysteine release transfer nitric oxide (NO)-bioactivity. Incubation with cystine led uptake, reduction, release. The process was inhibitable by glutamate, suggesting a system x(c)(-) amino acid transporters. Smooth express transporter...
Ergosterols are essential components of fungal plasma membranes. Inhibitors targeting ergosterol biosynthesis (ERG) genes critical for controlling pathogens, including Magnaporthe oryzae, the fungus that causes rice blast. However, translational mechanisms governing ERG gene expression remain largely unexplored. Here, we show Trm6/Trm61 complex catalyzes dynamic N
Despite its involvement in nucleotide metabolism, tumor immune landscape, and immunotherapy response, the role of 2'-3'-cyclic guanosine monophosphate-adenosine monophosphate (2',3'-cGAMP) lung adenocarcinoma (LUAD) remails unelucidated. This study aimed to investigate antitumor effects 2',3'-cGAMP LUAD.
Medical images play a significant part in biomedical diagnosis, but they have feature. The medical images, influenced by factors such as imaging equipment limitations, local volume effect, and others, inevitably exhibit issues like noise, blurred edges, inconsistent signal strength. These imperfections pose challenges create obstacles for doctors during their diagnostic processes. To address these issues, we present pathology image segmentation technique based on the multiscale dual...
Split hand/foot malformation (SHFM) is a congenital disorder characterized by cleft of the hands and/or feet due to dificiency central rays. Genomic rearrangement at 10q24 has been found cause nonsyndromic SHFM (SHFM3). Four patients and fourteen unaffected individuals from four-generation Chinese pedigree with typical SHFM3 phenotypes were recruited for this study. After informed consent was obtained, genome-wide copy number analysis performed on all two normal family members using...