Results 51 to 60 of about 120,010 (245)

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

Molecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary, Jose Javier Bravo‐Cordero   +1 more
wiley   +1 more source

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

A Deep-Reinforcement Learning Approach to Mitigate Vishing Attacks and Data Theft in Voice over Internet Protocol Calls

Journal of High-Frequency Communication Technologies
Voice over Internet Protocol (VoIP) technology has transformed global communication by providing cost efficiency, scalability, and integration with digital platforms.
Solomon Malcolm Ekolama, Bodunrin Isa Bakare, Sunny Orike   +2 more
doaj   +1 more source

Spatial biology in cancer epigenetics

Molecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +1 more source

Semantic Classification of Railway Bridge Drawings Based on OCR and BP Neural Networks

Applied Sciences
Digital management of modern railway bridges, a substantial part of high-speed railway networks, is often hindered by manual interpretation of construction drawings for Building Information Modeling (BIM).
Wanqi Wang, Ze Guo, Liu Bao, Xing Yang, Yalong Xie, Ruichang Shi, Shuoyang Zhao   +6 more
doaj   +1 more source

ADP‐ribosylation: An emerging regulator of the epigenome

Molecular Oncology, EarlyView.
ADP‐ribosylation has emerged as a dynamic epigenetic signaling mechanism that modifies histones and chromatin‐associated proteins. Through coordinated PARylation and MARylation, it integrates with other histone modifications to regulate chromatin structure, transcription factor activity, and gene expression, influencing genome function and disease ...
Cristel V. Camacho, Chenqian Liu, W. Lee Kraus   +2 more
wiley   +1 more source

Neural Networks-Based Analytical Solver for Exact Solutions of Fractional Partial Differential Equations

Fractal and Fractional
This paper introduces an innovative artificial neural networks-based analytical solver for fractional partial differential equations (fPDEs), combining neural networks (NNs) with symbolic computation.
Shanhao Yuan, Yanqin Liu, Limei Yan, Runfa Zhang, Shunjun Wu   +4 more
doaj   +1 more source

Long‐term hippocampal alterations and cognitive impairment in a murine model of surgical sepsis

FEBS Open Bio, EarlyView.
Using a mouse model of surgical sepsis, we tested long‐term memory and analyzed the transcriptome of single cells isolated from the hippocampus. Survivor mice showed worse memory, loss of certain brain cell subpopulations, and abnormal immune cell activity—suggesting that post‐sepsis brain alterations may be linked to cognitive deficits.
Dong Seong Cho, Rebecca Schmitt, Aneesha Dasgupta, Alexandra Ducharme, Jason Doles   +4 more
wiley   +1 more source

Diffeomorphism neural operator for various domains and parameters of partial differential equations

Communications Physics
Solving partial differential equations (PDEs) across varying geometric domains and parameters represents a significant challenge in fields such as materials science, engineering, design and medical imaging, primarily due to the high computing cost ...
Zhiwei Zhao, Changqing Liu, Yingguang Li, Zhibin Chen, Xu Liu   +4 more
doaj   +1 more source

A nonlinear quantum neural network framework for entanglement engineering

Multipartite entanglement is a crucial resource for quantum technologies; however, its scalable generation in noisy quantum devices remains a significant challenge. Here, we propose a low-depth quantum neural network architecture with linear scaling, employing a novel approach to introducing activation functions for entanglement engineering.
Macarone-Palmieri, Adriano, Ferrara, Alberto, Franco, Rosario Lo   +2 more
openaire   +2 more sources