Results 61 to 70 of about 11,603,043 (210)
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
A Multi-Modal Approach to Rail Surface Condition Analysis: The MFDF-Net
Surface defects on the track may lead to accidents and pose a serious threat to the safety of passengers and staff. Regarding current detection methods, there are still shortcomings: manual detection is time-consuming and labor-intensive; vibration ...
Yifei Shen +4 more
doaj +1 more source
Psoriasis severity classification based on adaptive multi-scale features for multi-severity disease
Psoriasis is a skin disease that causes lesions of various sizes across the body and can persist for years with cyclic deterioration and improvement. During treatment, and a multiple-severity disease, with irregular severity within the observation area ...
Cho-I. Moon +3 more
doaj +1 more source
Moiré Pattern Removal with Multi-scale Feature Enhancing Network
Taking high-quality photos of digital screens is difficult, as such photos are usually contaminated with moire patterns. Considering the nature of wide-range frequencies of moire' patterns, existing works adopt the multi-scale framework to address this ...
Xiangyang Luo +9 more
core +1 more source
Liver organoids: modelling complexity in homeostasis and disease
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley +1 more source
Large-scale tissue histopathology image segmentation based on feature pyramid
Histopathology image analysis is a gold standard for cancer recognition and diagnosis. But typical problems with histopathology images that hamper automatic analysis include complex clinical features, insufficient training data, and large size of a ...
Pinle Qin +4 more
doaj +1 more source
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee +2 more
wiley +1 more source
Multi-Scale Deepfake Detection Method with Fusion of Spatial Features [PDF]
With the rapid advancement in deep learning, deepfake technology has gained significant momentum as a form of image manipulation based on generative models.
Yiwen ZHANG, Manchun CAI, Yonghao CHEN, Yi ZHU, Lifeng YAO
core +2 more sources
Emerging experimental and computational methods for studying redox‐regulated structural transitions
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification
Deep learning models combining spectral and spatial features have been proven to be effective for hyperspectral image (HSI) classification. However, most spatial feature integration methods only consider a single input spatial scale regardless of various
Simin Li, Xueyu Zhu, Jie Bao
doaj +1 more source

