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The paper shows increased β-secretase processing of APP in skeletal muscle of ALS animal models, but not in spinal cord or cerebral cortex.

The paper quantifies directional asymmetry in companion rabbit mandibles, finding a consistent left-side dominance in size.

This paper develops a deep learning approach for automated pediatric bone age assessment using radiological hand images and shows it outperforms existing methods.

This paper develops a deep learning model for diabetic retinopathy detection using CNNs, achieving high sensitivity and AUC on test data, surpassing optometrist performance.

The paper identifies transcriptional trajectories in human kidney disease progression using machine learning and validates findings in a mouse model.

This study identifies ORF3141 as a secreted protein from Nocardia seriolae that targets host cell mitochondria and induces apoptosis in fathead minnow cells.

This study shows African Spiny mice can repair kidney injury without fibrosis, unlike mice, suggesting evolutionary adaptations for organ regeneration.

This study assesses skin lesion measurement techniques, finding excellent intra- and inter-observer reliability using ruler measurements of erythema in bacterial skin infections.

This paper develops deep convolutional neural networks for detecting and localizing angiodysplasia lesions in gastrointestinal images, achieving state-of-the-art results.

This study develops a luminal A-like breast cancer model by increasing ER expression in MCF-7 cells and shows it promotes anti-proliferative responses to estrogen through cell cycle regulation and chromatin changes.

This study evaluates the effect of VEGF-A transduction on lung injury during hyperoxia in rats, finding it modestly improves survival but has limited impact on overall lung damage.

This study compares 30-day mortality and clinical outcomes of carbapenem vs non-intravenous antibiotic treatment for ESBL/Amp-C positive Enterobacteriaceae bacteremia, finding no increased mortality with non-intravenous alternatives.

This paper evaluates four stain normalization methods to improve nuclei segmentation accuracy in histological images by reducing variability between slides.

This paper develops a deep convolutional neural network approach for breast cancer histology image classification, achieving high accuracy in both 4-class and 2-class tasks.

This study shows EGCG treatment improves facial dysmorphology in DS mouse models and humans but warns against non-prescribed use due to variable outcomes.

This paper introduces a method for quantitatively assessing Duchenne Muscular Dystrophy severity using computer-aided analysis of histopathological images.

This study evaluates the yield of universal testing for DNA mismatch repair protein deficiency in colorectal carcinoma, identifying MMR protein deficiency rates and age-related patterns.

This study describes dental erosion in a Late Holocene child from Brazil, suggesting gastroesophageal reflux as a possible cause of death.

The paper examines elastin remodeling in Amniotic Band Syndrome (ABS) constriction rings, finding localized elastin fragmentation and absence in papillary dermis, suggesting differential elastin expression during fetal healing.

This study evaluates a laboratory demand optimization intervention in primary care, finding reduced test request volume and variability, with notable differences between rural and urban practices.