98%
921
2 minutes
20
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288699 | PMC |
http://dx.doi.org/10.1093/nsr/nwaa249 | DOI Listing |
Circ Genom Precis Med
September 2025
Division of Cardiology, Emory University School of Medicine, Atlanta, GA. (A.K.Y., A.C.R., L.S.S., A.A.Q., Y.V.S.).
Background: Cardio-kidney-metabolic (CKM) disease represents a significant public health challenge. While proteomics-based risk scores (ProtRS) enhance cardiovascular risk prediction, their utility in improving risk prediction for a composite CKM outcome beyond traditional risk factors remains unknown.
Methods: We analyzed 23 815 UK Biobank participants without baseline CKM disease, defined by -Tenth Revision codes as cardiovascular disease (coronary artery disease, heart failure, stroke, peripheral arterial disease, atrial fibrillation/flutter), kidney disease (chronic kidney disease or end-stage renal disease), or metabolic disease (type 2 diabetes or obesity).
ACS Sens
September 2025
Institute of Applied Mechanics, National Taiwan University, Taipei 106, Taiwan.
In recent AI-driven disease diagnosis, the success of models has depended mainly on extensive data sets and advanced algorithms. However, creating traditional data sets for rare or emerging diseases presents significant challenges. To address this issue, this study introduces a direct-self-attention Wasserstein generative adversarial network (DSAWGAN) designed to improve diagnostic capabilities in infectious diseases with limited data availability.
View Article and Find Full Text PDFEnviron Microbiol Rep
October 2025
Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Selcuk University, Konya, Türkiye.
Boron toxicity and salinity are major abiotic stress factors that cause significant yield losses, particularly in arid and semi-arid regions. Hyperaccumulator plants, such as Puccinella distans (Jacq.) Parl.
View Article and Find Full Text PDFImmunol Res
September 2025
Department of Immunology and Allergy, Faculty of Medicine, Necmettin Erbakan University, Konya, Türkiye.
Background: Variants of uncertain significance (VUS) represent a major diagnostic challenge in the interpretation of genetic testing results, particularly in the context of inborn errors of immunity such as severe combined immunodeficiency (SCID). The inconsistency among computational prediction tools often necessitates expensive and time-consuming wet-lab analyses.
Objective: This study aimed to develop disease-specific, multi-class machine learning models using in silico scores to classify SCID-associated genetic variants and improve the interpretation of VUS.
Exp Appl Acarol
September 2025
School of Life Science, Nanchang University, Nanchang, 330031, China.
Lead (Pb) contamination, a kind of heavy metal pollution, severely impacts organism growth and reproduction. Although vitellogenin (Vg) has been studied in many species, its characteristics in the pest Aleuroglyphus ovatus (Troupeau) (Acari: Acaridae) remain unknown. In this study, the full-length Vg gene of A.
View Article and Find Full Text PDF