Results 171 to 180 of about 1,318,109 (301)
A Novel 10‐Protein Score for Liver Fat Content Predicts Cardiovascular‐Kidney‐Metabolic Disease Risk
A novel 10‐protein plasma score precisely quantifies liver fat, outperforming the fatty liver index. It robustly predicts the risk of numerous cardiovascular‐kidney‐metabolic diseases and integrates with genetic data for precision prevention, offering a practical alternative to magnetic resonance imaging (MRI). Abstract Liver fat content (LFC) is a key
Xiaoqin Gan +12 more
wiley +1 more source
A time-series dataset on sustainable development Goals compliance in Europe. [PDF]
Fernández-Macho J.
europepmc +1 more source
ImmuDef, a novel algorithm to quantitatively evaluate the anti‐infection immune defense function of an individual based on RNA‐seq data via a variational autoencoder (VAE) model. It is validated on 3200+ samples across four immune states with high accuracy. It can serve as a metric for disease severity and prognosis across pathogenic cohorts.
Zhen‐Lin Tan +7 more
wiley +1 more source
This target trial emulation in solid organ transplant candidates with obesity and type 2 diabetes evaluates whether pre‐transplant dual therapy with GLP‐1 receptor agonists plus SGLT2 inhibitors is associated with post‐transplant mortality and kidney graft outcomes compared with monotherapy or usual care, using multinational electronic health records ...
Yu‐Nan Huang +7 more
wiley +1 more source
Co-expression-wide association studies link genetically regulated interactions with complex traits. [PDF]
Malakhov MM, Pan W.
europepmc +1 more source
Artificial Intelligence Revolution in Transcriptomics: From Single Cells to Spatial Atlases
Single‐cell RNA sequencing and spatial transcriptomics have unveiled cellular heterogeneity and tissue organization with unprecedented resolution. Artificial intelligence (AI) now plays a pivotal role in interpreting these complex data. This review systematically surveys AI applications across the entire analytic workflow and offers practical guidance ...
Shixin Li +7 more
wiley +1 more source
The missing data problem in population genomics and statistical methods to address them. [PDF]
Sethuraman A.
europepmc +1 more source
Missing Growth, Imputation of Price Statistics and Channels of Creative Destruction
Ville Markkanen
openalex +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

