Results 81 to 90 of about 2,043,262 (319)

Cyclic nucleotide signaling as a drug target in retinitis pigmentosa

FEBS Letters, EarlyView.
Disruptions in cGMP and cAMP signaling can contribute to retinal dysfunction and photoreceptor loss in retinitis pigmentosa. This perspective examines the mechanisms and evaluates emerging evidence on targeting these pathways as a potential therapeutic strategy to slow or prevent retinal degeneration.
Katri Vainionpää, Ahmed B. Montaser, Henri Leinonen   +2 more
wiley   +1 more source

TRAF2 binds to TIFA via a novel motif and contributes to its autophagic degradation

FEBS Letters, EarlyView.
TRAF family members couple receptor signalling complexes to downstream outputs, but how they interact with these complexes is not always clear. Here, we show that during ADP‐heptose signalling, TRAF2 binding to TIFA requires two short sequence motifs in the C‐terminal tail of TIFA, which are distinct from the TRAF6 binding motif.
Tom Snelling, Kodi Hunter, Celest W. S. Tay, Nicola T. Wood, Philip Cohen   +4 more
wiley   +1 more source

LUneXt: Simple and Efficient U-shaped Network Design for Medical Image Segmentation with Nonlinear Activation

Computing Open
Medical image segmentation has always been a challenging task. This paper proposes a new LUneXt medical image segmentation model based on the characteristics analysis of medical image data sets and testing of different nonlinear activation units.
Guanghong Deng, Bing Yu, Wenlong Jing, Yong Li, Xiaodan Zhao   +4 more
doaj   +1 more source

The epithelial barrier theory proposes a comprehensive explanation for the origins of allergic and other chronic noncommunicable diseases

FEBS Letters, EarlyView.
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu, Huseyn Babayev, Ismail Ogulur, Sena Ardicli, Yagiz Pat, Duygu Yazici, Bingjie Zhao, Lihong Chang, Xiaoqing Liu, Paolo D'Avino, Manru Li, Ceren Biçer, Fatma Hacer Kurtoğlu Babayev, Raja Dhir, Kari C. Nadeau, Marie‐Charlotte Brüggen, Mubeccel Akdis, Cezmi A. Akdis   +17 more
wiley   +1 more source

Influence of the Neural Network Hyperparameters on its Numerical Conditioning

Цифровая трансформация, 2020
In this paper, the task of assessment of numerical conditioning of multilayer perceptron, forecasting time series with sliding window method, has been considered. Performance of the forecasting perceptron with various hyperparameters sets, with different
S. V. Sholtanyuk
doaj  

Adaptive Zeroing-Gradient Controller for Ship Course Tracking With Near Singularity Considered and Zero Theoretical Tracking Error

IEEE Access, 2019
The zeroing-gradient (ZG) method, a combination of two neural dynamics methods, has been leveraged to construct controller for solving ship course tracking problem with near singularity considered.
Dongyang Fu, Huan Wang, Xiuchun Xiao, Shan Liao, Long Jin   +4 more
doaj   +1 more source

Goodbye flat lymphoma biology

FEBS Letters, EarlyView.
Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria, Cèlia Dobaño‐López, Patricia Pérez‐Galán, Christine Bezombes   +3 more
wiley   +1 more source

Optimizing Activation Function for Parameter Reduction in CNNs on CIFAR-10 and CINIC-10

Applied Sciences
This paper explores a simple CNN architecture used for image classification. Since the first introduction of the CNN idea, LeNet5, CNNs have become the main method for image exploration.
Vasil Vasilev, Vasil Shterev, Maria Nenova   +2 more
doaj   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

FEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan, Lu Qi, Pierre Zalloua   +2 more
wiley   +1 more source

The anabolic steroid stanozolol is a potent inhibitor of human MutT homolog 1

FEBS Letters, EarlyView.
MutT homolog 1 (MTH1) is a member of the NUDIX superfamily of enzymes and is an anticancer drug target. We show that stanozolol (Stz), an anabolic steroid, is an unexpected nanomolar inhibitor of MTH1. The X‐ray crystal structure of the human MTH1–Stz complex reveals a unique binding scaffold that could be utilized for future inhibitor development ...
Emma Scaletti Hutchinson, Robert Gustafsson Westergren, Ingrid Almlöf, Ann‐Sofie Jemth, Martin Scobie, Ulrika Warpman Berglund, Thomas Helleday, Pål Stenmark   +7 more
wiley   +1 more source