Pathology

Emerging Trends in Point-of-Care Technology Development for Oncology in Low- and Middle-Income Countries.

The growing cancer burden and suboptimal diagnostic capacity in low- and middle-income countries cal...

Artificial Intelligence-Based Digital Histologic Classifier for Prostate Cancer Risk Stratification: Independent Blinded Validation in Patients Treated With Radical Prostatectomy.

PURPOSE: Artificial intelligence (AI) tools that identify pathologic features from digitized whole-s...

Terrestrial locomotion of microscopic robots enabled by 3D nanomembranes with nonreciprocal shape morphing.

Microscopic robots exhibit efficient locomotion in liquids by leveraging fluid dynamics and chemical...

Exploratory multi-cohort, multi-reader study on the clinical utility of a deep learning model for transforming cryosectioned to formalin-fixed, paraffin-embedded (FFPE) images in breast lesion diagnosis.

BACKGROUND: Cryosectioned tissues often exhibit artifacts that compromise pathologists' diagnostic a...

Development and interpretation of machine learning-based prognostic models for predicting high-risk prognostic pathological components in pulmonary nodules: integrating clinical features, serum tumor marker and imaging features.

BACKGROUND: With the improvement of imaging, the screening rate of Pulmonary nodules (PNs) has furth...

The melanoma MEGA-study: Integrating proteogenomics, digital pathology, and AI-analytics for precision oncology.

Melanoma remains the most aggressive form of skin cancer, characterized by high metastatic potential...

Nanoneedles enable spatiotemporal lipidomics of living tissues.

Spatial biology provides high-content diagnostic information by mapping the molecular composition of...

A robust and scalable framework for hallucination detection in virtual tissue staining and digital pathology.

Histopathological staining of human tissue is essential for disease diagnosis. Recent advances in vi...

When the Slide Knows the Sequence: Artificial Intelligence-Assisted Pathology Predicts Mutations in Thyroid Cancer.

Deep Learning Methodology for Quantification of Normal Pancreas Structures.

Histopathologic evaluation plays a crucial role in assessing morphological tissue alterations in dis...

Unsupervised Machine Learning-Based Process Analytical Tools for Near Real-Time Cell Morphology Analysis During CAR-T Cell Manufacturing.

Cell therapies like Chimeric Antigen Receptor (CAR)-T cell therapy deliver living cells to patients ...

Multifunctional nanophotonic photoacoustic biosensors: a new era in molecular imaging-guided deep-tissue cancer monitoring.

Monitoring cancer therapy is difficult because of restricted imaging depth, inadequate molecular spe...

Fast and accurate lung cancer subtype classication and localization based on Intraoperative frozen sections of lung adenocarcinoma.

Current lung cancer diagnostic techniques primarily focus on tissue subtype classification, yet rema...

Application Value of Deep Learning-Based AI Model in the Classification of Breast Nodules.

Breast nodules are highly prevalent among women, and ultrasound is a widely used screening tool. Ho...

Advances in molecular pathology and therapy of non-small cell lung cancer.

Over the past two decades, non-small cell lung cancer (NSCLC) has witnessed encouraging advancements...

Melioidosis molecular diagnostics: An update.

Melioidosis, a fatal tropical disease, presents a wide array of clinical manifestations, including a...

Development of a Natural Language Processing Model for Extracting Kidney Biopsy Pathology Diagnoses.

RATIONALE & OBJECTIVE: Kidney biopsy reports are in a nonindexed text format, and the diagnosis requ...

Advanced molecular approaches to thalassemia disorder and the selection of molecular-level diagnostic testing in resource-limited settings.

Beta-thalassemia is a genetic disorder that significantly burdens healthcare systems globally. This ...

Artificial intelligence for age-related macular degeneration diagnosis in Australia: A Novel Qualitative Interview Study.

INTRODUCTION: Artificial intelligence (AI) systems for age-related macular degeneration (AMD) diagno...

Machine Learning-Based Mobile Application for Predicting Posterior Canal Benign Paroxysmal Positional Vertigo.

OBJECTIVE: This study investigated the predictability of the Posterior Canal Being Paroxysmal Positi...

Redefining parameter-efficiency in ADHD diagnosis: A lightweight attention-driven kolmogorov-arnold network with reduced parameter complexity and a novel activation function.

As deep learning continues to advance in medical analysis, the increasing complexity of models, part...