Results 211 to 220 of about 387,320 (324)
We identified the endothelial RAP2A as a regulator of inflammatory endothelial activation in experimental lung fibrosis and suggest that targeting RAP2A‐mediated signaling may represent a potential strategy to modulate endothelial–immune crosstalk during fibrotic lung injury.
Xiaolan Zheng +13 more
wiley +1 more source
Uncovering Structure-Conductivity Relationships in Anion Exchange Membranes (AEMs) Using Interpretable Machine Learning. [PDF]
Naghshnejad P +4 more
europepmc +1 more source
SeZM NPs selectively target M2b macrophages through mannose–MRC1 (CD206) recognition, enhance GPX1 biosynthesis, and suppress mitochondrial ROS generation, oxidative stress, and JAK–STAT signaling. This dual regulation reduces pro‐inflammatory cytokine release, limits immune cell infiltration and fibrosis, and preserves renal function, providing a ...
Haoran Lv +16 more
wiley +1 more source
Comprehensive analysis of multi-omics vaccine response data using MOFA and Stabl algorithms. [PDF]
Gupta A, Abe K, Maecker HT.
europepmc +1 more source
This study introduces stVGP, a variational spatial Gaussian process framework for multi‐modal, multi‐slice spatial transcriptomics. By integrating histological and genomic data through hybrid alignment and attention‐based fusion, stVGP reconstructs coherent 3D functional landscapes.
Zedong Wang +3 more
wiley +1 more source
An effector subset of TRM, defined as CD49a+PD1hi CD8+ TRM, represents a BHLHE40‐orchestrated resident immune component that, rather than circulating cells, plays as a major contributor to allograft rejection. ABSTRACT Tissue‐resident memory T cells (TRM), which function against tumors, infections, and non‐self antigens in organ transplantation ...
Junbo Li +9 more
wiley +1 more source
MADVAR: a lightweight, data-driven tool for automated feature selection in omics data. [PDF]
Silberberg G.
europepmc +1 more source
Integrating Spatial Proteogenomics in Cancer Research
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang +13 more
wiley +1 more source
Securing IoT Vision Systems: An Unsupervised Framework for Adversarial Example Detection Integrating Spatial Prototypes and Multidimensional Statistics. [PDF]
Wang N, Li J, Zhang C, Zhang D.
europepmc +1 more source
Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu +5 more
wiley +1 more source

