Results 151 to 160 of about 1,961,287 (207)
Abstract Background Several therapeutic targets for non–small cell lung carcinoma (NSCLC) rely on protein expression by immunohistochemistry (IHC). Most biomarkers are validated on formalin‐fixed, paraffin‐embedded (FFPE) tissue; however, cytologic specimens, including cell blocks (CBs), that are subject to preanalytical variables are increasingly used.
Saroja Devi Geetha +3 more
wiley +1 more source
Breast cancer screening with mammography is less effective in women with dense breast tissue, prompting the use of ultrasound (US) imaging. While two- (2D) and three-dimensional (3D) US improve cancer detection, their low specificity leads to frequent ...
Lee, Ki Jong +11 more
core +1 more source
ABSTRACT National Statistical Offices (NSOs) face an escalating “privacy‐utility” impasse, where the demand for high‐granularity data must compete with the near zero risk tolerance of legal frameworks like the General Data Protection Regulation (GDPR).
Hooreya Khunji +3 more
wiley +1 more source
Adipose‐Derived Mesenchymal Stem Cells: Isolation, Origin, Phenotype Applications, and Challenges
Bridging basic biology to clinical translation, this review systematically explores the in vivo origins and evolving isolation techniques of AD‐MSCs. We dissect their diverse phenotype applications orchestrated by immunometabolic reprogramming, mitochondrial transfer, and extracellular vesicles.
Ziyang Liu +7 more
wiley +1 more source
Neutrophils: Heterogeneity, Biology, Diseases, and Therapeutic Strategies
Neutrophils exhibit remarkable functional plasticity and play dual roles in tissue protection and disease progression. This review summarizes their key biological functions and highlights the shift from conventional broad‐spectrum interventions to neutrophil‐based drug delivery systems.
Yibing Zhang +4 more
wiley +1 more source
NithinSai19/light-weight-neural-network-for-breast-cancer-detection-on-ultrasound-images: LWNN-BCD
<p>LWNNet-BCD: Lightweight Neural Network Model to Detect Breast Cancer on 2D Ultrasound images using Feature Mapping and Extraction Techniques</p ...
NithinSai19
core +1 more source
ABSTRACT Salmonella remains one of the most important foodborne pathogens associated with poultry products, despite substantial progress in processing hygiene and antimicrobial interventions. This review critically examines the sources, transmission routes, and control strategies for Salmonella in vertically integrated broiler production systems ...
Deepak Subedi +6 more
wiley +1 more source
ABSTRACT Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest cancers due to its asymptomatic progression, late‐stage diagnosis, and treatment resistance. Efforts in early detection have centered on identifying imaging features and liquid biopsy biomarkers capable of detecting PDAC and its high‐grade precursors before clinical symptoms ...
Christine Worthington +105 more
wiley +1 more source
ObjectiveTo investigate the impact of three segmentation methods (manual, automatic, and calibrated automatic) on the robustness of radiomic features, and to develop machine learning-based predictive models for evaluating the value of these segmentation ...
WU Linyong +4 more
doaj
Automated 3D breast ultrasound image analysis
Radboud Universiteit Nijmegen, 12 februari ...
openaire +1 more source

