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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 examines resistance to Puccinia coronata f. sp. avenae in Brachypodium species, finding race-specific responses independent of ROS and involving salicylic acid and ethylene signaling.

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.

The paper examines the association between SIDS and stressors like neonatal circumcision and prematurity using ecological data, finding significant positive correlations.

The paper builds a mathematical model of HCV entry, showing sequential receptor interactions and estimating receptor requirements for viral entry.

The paper presents an optimized protocol for preparing and imaging non-human primate placenta to study micro-anatomy using confocal microscopy.

The paper characterizes the effector repertoire of Phytophthora cactorum, identifying numerous secreted effectors and conserved avirulence genes across Phytophthora species.

This study investigates whether iron overload in mouse models of hereditary hemochromatosis exacerbates diet-induced liver disease, finding no evidence of early fibrosis.

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.

The paper identifies intratumoral heterogeneity in glioblastoma by analyzing MAPK and PI3K pathway activation and their correlation with CREB signaling and gene signatures.

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 study quantifies bone quality changes in Chihuahua zebrafish, showing similarities to human dominant osteogenesis imperfecta at multiple scales.

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.

The paper identifies CD56 expression on intravascular trophoblasts as a marker of decidual vasculopathy in preeclampsia and other pregnancy complications.