Latest AI and machine learning research in pathology for healthcare professionals.
The efficient and unbiased isolation of small extracellular vesicles (sEVs) from complex biological fluids remains a major obstacle for clinical diagnostics. Here, we report a bioinspired microfluidic chip that integrates a three-dimensional high-curvature TiO2 nano-interface (3D Hic-TiO2) with a biotin-modified artificial insertion peptide (BAIP) modification for rapid enrichment of sEV. Bowl-sha...
BACKGROUND: Current urinary and drainage catheter systems collect fluids for visual inspection or manual sampling, offering limited diagnostic value while being labor-intensive and prone to error. Machine learning (ML) has the potential to automate the analysis of these fluids. However, existing methods rely on complex preprocessing steps, which hinder real-time analysis. OBJECTIVE: We aim to deve...
Vesicles are critical components of neurons that package neurotransmitters and neuropeptides for their release, in order to communicate with other neu...
Needle-free jet injectors offer promising capabilities for drug delivery; however, achieving precise, depth-targeted penetration remains a significant...
BACKGROUND: Reactive oxygen species (ROS) are critical regulators of tumor development and progression, yet their clinical significance and cellular m...
Lung nodule detectionis necessary for lung cancer treatment, which is crucial for treating the patients. However, the current dataset comprises only a...
BACKGROUND: The inevitable progression of high-grade gliomas has prompted a need for data-backed identification of compromised tissue prior to detecti...
BACKGROUND AND OBJECTIVE: Automated morphological analysis of glomerular ultrastructures facilitates diagnosis by reducing pathologists' burden and im...
BACKGROUND: The development of filamentous fungal cells from spore to mature mycelium is influenced by a myriad of environmental conditions. Tradition...
INTRODUCTION AND AIMS: Oral exfoliative DNA aneuploidy cytology by image cytometry (DNA-ICM) has been introduced for the early diagnosis of malignant ...
The secretory pathway is a central and evolutionarily conserved feature of eukaryotic cells, responsible for protein and lipid trafficking, membrane b...
Rapid urbanization in semi-arid regions subjects metropolitan rivers to a distinctive form of hydrologic-physical impairment-herein designated as Type...
Oral leukoplakia (OL) is a precancerous condition typically assessed through histopathological examination of mucosal lesion biopsies. Identifying his...
PURPOSE OF REVIEW: Myocarditis presents with heterogenous clinical manifestations and remains diagnostically challenging due to nonspecific biomarkers...
OBJECTIVE: To assess the diagnostic performance of semen RNA-based biomarkers for detecting prostate cancer and differentiating cancer grade groups. M...
Alzheimer's disease (AD) presents considerable heterogeneity in disease risk and outcomes, posing a major challenge for effective therapeutic developm...
Visualizing genome organization and transcriptional dynamics with spatial and temporal precision in living cells is essential for elucidating gene reg...
INTRODUCTION: Artificial intelligence (AI) and digital pathology have the potential to augment liver biopsy interpretation in MAFLD in clinical practi...
To develop and evaluate MultiDentNet, a unified deep learning framework for multi-class dental condition screening and preliminary risk stratification...
Tissue detection is a crucial first step in most digital pathology applications. By applying image segmentation algorithms, all tissue is delineated a...