Results 151 to 160 of about 523,804 (280)
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi +5 more
wiley +1 more source
Role of irisin in physical activity, sarcopenia-associated type 2 diabetes, and cardiovascular complications. [PDF]
Cigrovski Berkovic M +2 more
europepmc +1 more source
Gli1+ adventitial stem cells (ASCs) have been thought to generate smooth muscle cells (SMCs) in atherosclerosis. Using a dual‐recombinase lineage tracing to exclude ectopic labeling, Wang et al. found that Gli1+ ASCs do not contribute to SMCs in atherosclerotic plaques.
Haixiao Wang +11 more
wiley +1 more source
Profiling oxidative stress markers and cardiovascular complications in chronic kidney disease patients supplemented with vitamin E [PDF]
Leila Azouaou +5 more
openalex +1 more source
Merging 4D printing with magneto‐responsive shape memory polymers opens new avenues for intelligent, reconfigurable systems. This review navigates cutting‐edge fabrication techniques, magnetic fillers, and smart polymer matrices, unveiling their potential in soft robotics, biomedical devices, and wearable tech.
Kiandokht Mirasadi +7 more
wiley +1 more source
Cardiovascular complications in acute dengue infection: a population-based cohort study. [PDF]
Wee LE +14 more
europepmc +1 more source
The interaction between trophoblasts and decidual polymorphonuclear myeloid‐derived suppressor cells (dPMN‐MDSCs) via the XCL1–XCR1 axis is crucial for fetal development during the third trimester. Disruption of this axis impairs FOXO1 activity and causes metabolic imbalance in dPMN‐MDSCs, contributing to adverse outcomes associated with advanced ...
Meiqi Chen +12 more
wiley +1 more source
Cardiovascular Complications of COVID-19 Disease: A Narrative Review. [PDF]
Denegri A +5 more
europepmc +1 more source
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang +10 more
wiley +1 more source

