Pathology

Volume electron microscopy reveals heterogeneity of the hemostatic response in veins and arteries.

Intravital imaging studies have provided insights into the spatial and temporal variations of platelet activation and thrombin generation that occur during hemostasis, but these studies are generally limited to small vessels due to practical limitations of imaging in thicker tissues. Recent advances in cleared tissue fluorescence imaging as well as volume electron microscopy (vEM) coupled with mac...

Comprehensive Serum Proteomics Uncovers Epigenetic and Inflammatory Pathways Underlying Primary Open-Angle Glaucoma.

Glaucoma is a leading cause of irreversible blindness, driven by progressive Retinal ganglion cell loss and optic nerve degeneration. The molecular mechanisms underlying primary open angle glaucoma (POAG) remain unclear, and current intraocular pressure-lowering therapies often do not halt disease progression. Moreover, limited molecular data from Asian patient cohorts restrict population-specific...

[Application of a novel robot-assisted navigation system in CT-guided percutaneous lung biopsy].

Objective: To compare the clinical efficacy and safety of robot-assisted navigation systems with those of the conventional puncture localization metho...

Large-Scale Histological Image Dataset with Metadata for Colorectal Cancer Microenvironment.

The pronounced heterogeneity of the tumor microenvironment (TME) in colorectal cancer (CRC) presents major obstacles in accurately predicting patient ...

Development of a multi-task learning framework with gradnorm for precise wound tissue analysis.

Chronic wounds impose a substantial burden on patients and healthcare systems, necessitating accurate qualification of precise wound analysis for effe...

NTDscope: A multi-contrast portable microscope for disease diagnosis.

Accurate diagnostics are essential for disease control and elimination efforts. However, access to diagnostics for neglected tropical diseases (NTDs) ...

Redefining Pathobiology with Spatial Multi-Omics at the Intersection of Biology, Computation, and Histopathological Assessment.

Spatial profiling technologies are transforming our understanding of tissue organization by enabling high-resolution mapping of molecular features in ...

Multimodal activity-affinity assay of ADAM-10 extracellular vesicles in untreated plasma reveals metastatic stage of colorectal cancer.

Metalloproteinases (MPs) such as a-disintegrin and metalloproteinase-10 (ADAM-10) are key drivers of extracellular matrix remodeling during tumor prog...

Automated segmentation of pterygium lesions using multiscale deep learning networks.

Pterygium is an eye condition that needs to be identified at an early stage so that its progression can be mitigated in order to avoid the possible th...

A hypergraph-based model for tumor prognosis using local and global information fusion on H&E-stained histology images.

Prognostic variables play a critical role in guiding clinical treatment decisions for cancer patients. However, extracting prognostic information from...

Cellflow: Advancing pathological image augmentation from spatial views to temporal trajectories.

Deep learning has advanced pathological image analysis but remains constrained by limited annotated data, especially for fine-grained diagnostic tasks...

Toward genomic personalization of breast cancer radiotherapy: foundations, challenges, and a roadmap for clinical integration.

Personalizing radiotherapy dose in breast cancer remains a major unmet need, as current treatment paradigms rely on uniform prescriptions that overloo...

A deep learning model based on ultrasound imaging to differentiate malignant from benign pleural effusion: a multicenter cohort study.

Multi-angle, cross-domain fusion strategy enhances automated insect identification and hierarchical categorization: a case study on assassin bugs (Hemiptera: Reduviidae).

Automated insect identification systems hold significant value for biodiversity monitoring, pest management, citizen science initiatives and systemati...

Noninvasive Staging of Hepatic Fibrosis in Patients with Autoimmune Liver Disease Using Deep Learning.

RATIONALE AND OBJECTIVES: Accurate staging of hepatic fibrosis is essential for guiding immunosuppressive and antifibrotic therapies. However, percuta...

Multi-omics characterization of benzo[a]pyrene toxicity networks identifies SERPINE1 and STK3 as prognostic biomarkers and therapeutic targets in head and neck squamous cell carcinoma.

Benzo[a]pyrene (BaP), a ubiquitous environmental carcinogen predominantly found in tobacco smoke and air pollution, plays a pivotal role in head and n...

Establishing an Evidence-based Modern Breast MRI Program.

Breast MRI has evolved over the past several decades into a cornerstone of breast imaging. Historically, dynamic contrast-enhanced (DCE) MRI has serve...

Development and Validation of a Computational Histology Artificial Intelligence-Powered Predictive Biomarker for Selection of Chemotherapy in Advanced Pancreatic Cancer.

PURPOSE: Predictive biomarkers to guide selection of first-line chemotherapy for advanced pancreatic ductal adenocarcinoma (PDAC) are an unmet clinica...

Selective multimodal deep learning for reliable breast cancer subtype classification from histopathology and genomic data.

Accurate classification of breast cancer subtypes is critical for personalized treatment planning and prognostic assessment. While histopathology ...

Multi-modal AI for opportunistic screening, staging and progression risk stratification of steatotic liver disease.

The global rise in steatotic liver disease poses a significant public health challenge. While non-contrast computed tomography scans hold promise for ...