Pathology

Clinical Impact of Artificial Intelligence-Augmented Lymph Node Evaluation in Metastatic Gastric, Colorectal, and Breast Cancer.

CONTEXT.—: Lymph node (LN) assessment plays a critical role in cancer staging and prognosis but remains a time-consuming and labor-intensive task in pathology. While artificial intelligence (AI) tools have shown promise in improving diagnostic accuracy, their real-world clinical utility in LN metastasis detection across multiple cancer types remains underexplored. OBJECTIVE.—: To evaluate the diag...

Explainable AI-based analysis of human pancreas sections identifies traits of type 2 diabetes.

Type 2 diabetes (T2D) is a chronic disease currently affecting around 500 million people worldwide with often severe health consequences. Yet, histopathological analyses are still inadequate to infer the glycaemic state of a person based on morphological alterations linked to impaired insulin secretion and β-cell failure in T2D. Giga-pixel microscopy can capture subtle morphological changes, but d...

Normal breast tissue (NBT)-classifiers: advancing compartment classification in normal breast histology.

Cancer research emphasises early detection, yet quantitative methods for normal tissue analysis remain limited. Digitised haematoxylin and eosin (H&E)...

Derivation and validation of a machine learning-driven score to predict the diagnostic yield of endomyocardial biopsy.

Despite its low diagnostic yield, endomyocardial biopsy (EMB) remains the gold standard for establishing a definitive diagnosis in many cardiomyopathi...

A microenvironment-determined risk continuum refines subtyping in meningioma and reveals determinants of machine learning-based tumor classification.

Classification of tumors in neuro-oncology today relies on molecular patterns (mostly DNA methylation) and their machine learning-supported interpreta...

Individualized gamma knife radiosurgery prescription dosing for pituitary adenomas: development and internal validation of a feedforward neural network model.

BACKGROUND: Gamma Knife radiosurgery (GKRS) is an established treatment for pituitary adenomas yet prescription dose selection is often guided by clin...

Targeting the MPO/LCN2/GMPPB axis in IBS-depression comorbidity: Integrated multi-omics and bidirectional network pharmacology for precision diagnostics and therapeutics.

BACKGROUND: Irritable Bowel Syndrome (IBS) and Major Depressive Disorder (MDD) exhibit high comorbidity, driven by dysregulation of gut-brain axis int...

Exploring the future of ischemic stroke diagnosis and underrecognized etiologies.

INTRODUCTION: Despite traditional workups, accurate diagnosis of patients who are classified under cryptogenic stroke with underrecognized etiologies ...

Integrating multi-omics analysis identifies DNA damage-related gene CLSPN as a biomarker in gastric cancer.

DNA damage exhibits a strong correlation with gastric cancer (GC). However, there is still a paucity of comprehensive, in-depth investigations into th...

[Application of molecularly imprinted polymers-based sensors for determination of acute coronary syndrome biomarkers].

Cardiovascular diseases （CVDs） are among the leading cause of global morbidity and mortality. Due to their high prevalence and often asymptomatic prog...

Physics-informed graph neural networks for flow field estimation in carotid arteries.

Hemodynamic quantities are valuable biomedical risk factors for cardiovascular pathology such as atherosclerosis. Non-invasive, in-vivo measurement of...

Spatial and multi-omics transcriptomic dissects platinum resistance in lung adenocarcinoma: a five-gene predictive model with tumor microenvironment dynamics.

The scarcity of reliable biomarkers and predictive models for platinum resistance in lung adenocarcinoma (LUAD) poses a significant clinical challenge...

Spectral CT-derived extracellular volume fraction for pathological characterization and noninvasive T staging in colon cancer.

OBJECTIVES: To investigate the association between the extracellular volume fraction (ECV) quantified by spectral CT and multiparameter pathological f...

Deterministic Evolution of Aptamers via a Microfluidic-Integrated Robotic Platform Using Complex Exosomes as Targets.

Exosome (EXO) membrane proteins are attractive biomarkers for liquid biopsy, yet their heterogeneity makes it difficult to develop reliable antibody-b...

Investigating the Cytoskeleton of DRGs Using Cryo-Electron Microscopy and Deep Learning.

We describe a method for determining the ultrastructural organization of axons and varicosities of cultured dorsal root ganglion (DRG) neurons using c...

Deep Learning Artificial Intelligence and Restriction Spectrum Imaging for Patient-level Detection of Clinically Significant Prostate Cancer on Biparametric Magnetic Resonance Imaging.

BACKGROUND AND OBJECTIVE: Our aim was to evaluate whether combining the maximum restriction score derived from restriction spectrum imaging (RSIrsmax)...

Classification of twinkling artifacts and blood flow for in vivo detection of breast microcalcifications.

While mammography is the standard modality for detecting microcalcifications (MCs), their real-time detection with ultrasound imaging can be invaluabl...

Application of radiomics in head and neck squamous cell carcinoma.

Head and neck squamous cell carcinoma (HNSCC) is the most prevalent histopathological subtype of head and neck malignancies. Owing to the lack of earl...

Multidisciplinary Team Diagnosis and Treatment of well-differentiated thyroid carcinoma: Current Landscape and Future Prospects.

BACKGROUND: The incidence of thyroid cancer has increased markedly in recent years, largely driven by well-differentiated thyroid carcinoma (WDTC). WD...

AI-FLEET: Phase I-Multimodal Deep Learning Model for Phyllodes Tumor Classification.

BACKGROUND: Fibroepithelial breast lesions, including fibroadenomas and phyllodes tumors (PTs), can be difficult to classify on needle biopsy. Misclas...