Results 111 to 120 of about 2,410 (213)

Engineering Concentration‐Dependent Intravitreal Mobility via Cyclic Arginine‐Enriched Nanocarrier Surface Modification: In Vivo Proof‐of‐Concept in a Porcine Large Animal Model

Advanced Healthcare Materials, EarlyView.
In this study, Hammer et al. highlight cyclic‐arginine surface engineering as a highly biocompatible, controllable, and concentration‐dependent regulator of intravitreal nanoparticle mobility in vivo in a translational large animal model. The cyclic arginine surface‐modification supports the development of next‐generation biomaterials for long‐acting ...
Maximilian Hammer, Bryan Calder Ackermann, Anna Stoß, Niklas Junker, Ludwig Geisweid, Sabrina Wohlfart, Jonathan Herth, Simon William Pohl, Manuel Ben Böhmann, André Schulz, Victor Aristide Augustin, Gerd Uwe Auffarth, Philipp Uhl   +12 more
wiley   +1 more source

BreNet: Attention-Enhanced Multi-Scale CNN Framework for Breast Cancer Classification in Histopathological Images

IEEE Access
Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the critical importance of early and accurate detection in improving patient outcomes and treatment plans.
Helala M. Alshehri
doaj   +1 more source

Inhibition of VEGF‐Induced Angiogenesis and Vascular Leakage by Bicistronic Co‐Expression of Aflibercept and COMP‐Ang1

Advanced Healthcare Materials, EarlyView.
A bicistronic rAAV8 vector encoding Aflibercept (Afb) and COMP‐cAng1 simultaneously coordinates VEGF clearance and Tie2‐mediated vessel maturation. In a 3D angiogenesis‐on‐a‐chip model, rAAV8‐Afb/cAng1 effectively reverses pathological barrier breakdown under clinical disease‐mimicking challenges.
Bong‐Kyu Kim, Jaehong Min, Sang‐Hee Park, Subeen Shin, Sangbin Yu, Jeong‐Eun Park, Sujin Kim, Wooju Park, Jihoon Ko, Sunjong Kwon   +9 more
wiley   +1 more source

Transfer Learning Fusion Approaches for Colorectal Cancer Histopathological Image Analysis

Journal of Imaging
It is well-known that accurate classification of histopathological images is essential for effective diagnosis of colorectal cancer. Our study presents three attention-based decision fusion models that combine pre-trained CNNs (Inception V3, Xception ...
Houda Saif ALGhafri, Chia S. Lim
doaj   +1 more source

Content-Based Histopathological Image Retrieval

Sensors
Feature descriptors in histopathological images are an important challenge for the implementation of Content-Based Image Retrieval (CBIR) systems, an essential tool to support pathologists. Deep learning models like Convolutional Neural Networks and Vision Transformers improve the extraction of these feature descriptors. These models typically generate
Camilo Nuñez-Fernández , Humberto Farias , Mauricio Solar    +2 more
openaire   +3 more sources

A Novel Drug‐Loaded Porous Parylene Electrode for Targeted Anti‐Inflammatory Therapy and Hearing Preservation in Cochlear Implantation

Advanced Healthcare Materials, EarlyView.
A porous parylene‐coated electrode loaded with dexamethasone was developed to reduce inflammation after cochlear implantation. In guinea pigs, the device provided sustained drug release, maintained biocompatibility, improved auditory brainstem response thresholds, and reduced inflammatory cell infiltration and TNF‐α expression.
Chi‐Chieh Chang, Ying‐Chang Lu, Yu‐Ming Chang, Yen‐Hui Chan, Hong‐Yu Yan, Yi‐Shan Lee, Pei‐Hsuan Lin, Cheng‐Yu Hsieh, Chuan‐Jen Hsu, Tien‐Chen Liu, Hsien‐Yeh Chen, Chen‐Chi Wu   +11 more
wiley   +1 more source

Classification of histopathological images for oral cancer in early stages using a deep learning approach

Journal of Intelligent Systems
Problem – Diagnosing early-stage oral squamous cell carcinoma (OSCC) is necessary for patient treatment and survival. The staining normalization and augmentation of histopathological images can play an important role in improving the accuracy of early ...
Alsaedi Raneem Y., Alsharif Hussam J.
doaj   +1 more source

Improving Cell Nuclei Segmentation in Pathological Tissues Using Self-Supervised Regression Method

IEEE Access
Digital pathology, integral to cancer diagnosis, heavily utilizes the analysis of whole slide images (WSIs) to detect cancer cells. Traditionally, WSIs are manually examined—a process that is not only time-consuming but also subject to observer ...
Hesham Ali, Mostafa Hammouda, Mustafa Elattar, Sahar Selim   +3 more
doaj   +1 more source

Tumor‐Targeted Hyaluronic Acid/Tannic Acid‐Engineered Oxygen Nanogenerators With IR780 Payloads Enable Dual‐Mode Glutathione Depletion and Effective Singlet Oxygen Generation for Melanoma Treatment

Advanced Healthcare Materials, EarlyView.
A hyaluronic acid/tannic acid‐engineered Prussian blue oxygen nanogenerator loaded with IR780 is developed to enhance melanoma phototherapy. By integrating tumor targeting, oxygen self‐supply, and dual‐mode glutathione depletion, the nanoplatform effectively overcomes hypoxia and antioxidant defenses, potentiating synergistic photothermal/photodynamic ...
Chai‐How Hsu, I‐Ju Liu, Hsiang‐Yun Chih, Tsai‐Ching Hsu, Ju‐An Liang, Chia‐Wei Kuo, Bor‐Show Tzang, Wen‐Hsuan Chiang   +7 more
wiley   +1 more source

Machine Learning Models for the Classification of Histopathological Images of Colorectal Cancer

Applied Sciences
The aim of this study was to explore the application of computational models for the analysis of histopathological images in the context of colon cancer.
Nektarios Georgiou, Pavlos Kolias, Ioanna Chouvarda   +2 more
doaj   +1 more source