Pathology

Advances in extracellular vesicle research: tools and techniques.

Extracellular vesicles (EVs) are lipid bilayer vesicles produced endogenously by all cell types and ...

Association of Circulating T Cell and Tumor Microenvironment Profiles with Immune Checkpoint Blockade Outcome in Sarcoma.

PURPOSE: Immune checkpoint blockade (ICB) benefits only a subset of sarcoma patients. Biomarkers of ...

Ancestry-Associated Performance Variability of Open-Source AI Models for EGFR Prediction in Lung Cancer.

IMPORTANCE: Artificial intelligence (AI) models are emerging as rapid, low-cost tools for predicting...

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 platel...

[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 tho...

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

The pronounced heterogeneity of the tumor microenvironment (TME) in colorectal cancer (CRC) presents...

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 accurat...

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

Accurate diagnostics are essential for disease control and elimination efforts. However, access to d...

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 ...

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 patient...

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

Deep learning has advanced pathological image analysis but remains constrained by limited annotated ...

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 pa...

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 man...

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 immunosuppre...

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...

Establishing an Evidence-based Modern Breast MRI Program.

Breast MRI has evolved over the past several decades into a cornerstone of breast imaging. Historica...

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...

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 plannin...

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-co...

Heterogeneous graph neural networks reveal molecular mechanisms of folate deficiency in placental insufficiency through multiomics integration.

Placental insufficiency affects five to ten% of pregnancies worldwide, and folate deficiency has eme...