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This paper evaluates the effectiveness of a blinded AI peer review system (BARS) in auditing biomedical literature, finding it improves consistency and detects flaws while highlighting issues with megajournals and template studies.

This paper compares neutrophil transcriptomic profiles in rheumatoid arthritis and COVID-19 to identify shared immune pathways and disease-specific features.

This study examines sex-specific marine growth differences in invasive pink salmon from two Norwegian fjords, finding males from Varangerfjord had higher growth rates and body size than other groups.

This study identifies a context-dependent resveratrol-SIRT1 axis in Parkinson's disease through integrative transcriptomic analysis across multiple models.

This study optimizes a DDA-PASEF-based immunopeptidomics workflow to enhance HLA class I peptide coverage in low-input samples.

This study investigates how different norovirus genotypes recognize human milk oligosaccharides using structural and biochemical methods, revealing genotype-specific binding mechanisms.

The paper closes the genome of a Dominican group B Streptococcus isolate, revealing a composite integrative element linking nisin P biosynthesis to antibiotic resistance genes.

The paper classifies hazard structures in toxicology models and identifies peak-based hazard as the appropriate default for certain toxicants.

This study examines how implicit statistical learning networks' connectivity relates to aphasia severity in post-stroke patients, finding stronger connectivity correlates with milder aphasia.

SeverYX is an ensemble framework that classifies genetic variants into severity tiers, achieving high concordance with ClinVar and improving predictive accuracy through threshold optimization and additional predictors.

This study uses single-cell RNA sequencing to compare cellular and molecular features of steroid-induced and alcohol-induced osteonecrosis of the femoral head with hip osteoarthritis, identifying distinct immune and stromal cell signatures.

This paper introduces a method to cluster instantaneous phase-locking states using the Bures-Wasserstein distance, improving sensitivity to phase-lag size and spatial patterns in EEG data.

This study shows that non-homologous end joining (NHEJ) facilitates rapid adaptation to caspofungin in Nakaseomyces glabratus by enabling FKS2 mutations, while NHEJ-deficient strains adapt less efficiently through alternative pathways.

PixAQ improves single-cell protein quantification in imaging mass cytometry by assigning pixel signals to specific markers using spatial and intensity models.

The paper uses fMRI and a deep neural network to assess memory maturation in children aged 3-7, finding that hippocampal development drives memory pattern maturation.

The paper shows that human observers can improve color discrimination by tilting surfaces to sample directional lighting, rather than relying on uniform illumination.

NORMA 3.0 provides enhanced visualization and analysis of annotated biological networks with improved group representation and layout algorithms.

The paper identifies a uORF, PHYRE, essential for phytochrome B translation and photomorphogenesis in Arabidopsis, showing its role in translational regulation.

This study investigates the functional impact of a DNM1L GED deletion variant, showing intermediate effects on peroxisomal and mitochondrial dynamics and a targetable metabolic vulnerability.