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Deep learning based analysis of G3BP1 protein expression to predict the prognosis of nasopharyngeal carcinoma.
PLoS One
January 2025
Department of Pathology, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Background: Ras-GTPase-activating protein (GAP)-binding protein 1 (G3BP1) emerges as a pivotal oncogenic gene across various malignancies, notably including nasopharyngeal carcinoma (NPC). The use of automated image analysis tools for immunohistochemical (IHC) staining of particular proteins is highly beneficial, as it could reduce the burden on pathologists. Interestingly, there have been no prior studies that have examined G3BP1 IHC staining using digital pathology.
View Article and Find Full Text PDFIntegrating deep learning and machine learning for improved CKD-related cortical bone assessment in HRpQCT images: A pilot study.
Bone Rep
March 2025
Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States of America.
High resolution peripheral quantitative computed tomography (HRpQCT) offers detailed bone geometry and microarchitecture assessment, including cortical porosity, but assessing chronic kidney disease (CKD) bone images remains challenging. This proof-of-concept study merges deep learning and machine learning to 1) improve automatic segmentation, particularly in cases with severe cortical porosity and trabeculated endosteal surfaces, and 2) maximize image information using machine learning feature extraction to classify CKD-related skeletal abnormalities, surpassing conventional DXA and CT measures. We included 30 individuals (20 non-CKD, 10 stage 3 to 5D CKD) who underwent HRpQCT of the distal and diaphyseal radius and tibia and contributed data to develop and validate four different AI models for each anatomical site.
View Article and Find Full Text PDFEndothelial injury is one of the risk factors for the progression of vascular calcification in patients receiving maintenance dialysis.
Ren Fail
December 2025
Department of Nephrology, Chengyang District People's Hospital, Qingdao, China.
Background: Vascular calcification is common and progressive in patients with chronic kidney disease. However, the risk factors associated with the progression of vascular calcification in patients receiving maintenance dialysis have not been fully elucidated. Here, we aimed to evaluate vascular calcification and identify the factors associated with its progression in patients receiving maintenance hemodialysis.
View Article and Find Full Text PDFPlasma NGAL, suPAR, KIM-1 and GDF-15 for Improving Glomerular Filtration Rate Estimation in Older Hospitalized Patients.
Basic Clin Pharmacol Toxicol
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Department of Clinical Research, Copenhagen University Hospital, Amager and Hvidovre, Hvidovre, Denmark.
AHL Amyloidosis Mimicking ATTR on Cardiac PYP Scan: A Diagnostic Challenge.
J Nucl Cardiol
January 2025
Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Faculty of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Institute of Clinical Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Center for Intelligent Drug Systems and Smart Bio-devices (IDS(2)B), Hsinchu, Taiwan.
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