Pathology

A hybrid ConvNeXt-ViT framework with differential evolution optimization for breast cancer classification.

Breast cancer, a leading cause of mortality among women worldwide, necessitates early detection through mammography. Yet, automated classification remains challenging due to class imbalance, limited datasets, and the need for both local and global feature extraction. While convolutional neural networks (CNNs) excel in local feature extraction for mammogram classification, they struggle with long-r...

A Thyroid Nodule Differentiation Model for Benign-Malignant Identification by Fusing Transfer Learning and Gradient Boosting Decision Tree.

Accurate identification of benign and malignant thyroid nodules is a core link in clinical diagnosis and treatment decision-making, which directly affects the selection of subsequent treatment plans for patients. Aiming at the problems such as the strong subjectivity of traditional ultrasound diagnosis and the insufficient generalization ability of a single artificial intelligence model in small-s...

Object detection in histology: A multi-dataset benchmark and test-time inference.

Medical image analysis has become increasingly important for automated medical diagnosis, as well as deep learning. Specifically, object detection mod...

Assessing the proinflammatory potential of sterile fecal microbiome filtrate from ulcerative colitis patients using an intestine-on-chip platform and automated image analysis.

BACKGROUND AND AIMS: Ulcerative colitis (UC) is characterized by disruptions of the gut microbiome and an exaggerated mucosal immune response in genet...

Combining Artificial Intelligence and Indocyanine Green-Dyed Gauze for Dual-Navigation in Minimally Invasive Gastrointestinal Surgery: A Preliminary Study.

This preliminary study evaluated the feasibility of a dual-navigation strategy that integrates artificial intelligence (AI)-assisted identification of...

Preliminary Evaluation of a Dental Virtual Standardized Patient in Endodontic Clinical Reasoning and Decision-Making: Face and Construct Validity.

AIM: To develop and evaluate a dental virtual standardized patient (D-VSP) integrating natural-language intent recognition, a high-fidelity haptic sim...

Histology-derived prediction of a stromal remodeling program in pancreatic ductal adenocarcinoma with transcriptomic and spatial validation.

OBJECTIVE: To develop and validate a histology-based model for predicting a stromal stiffness-related molecular surrogate in pancreatic ductal adenoca...

Improving laboratory workforce efficiency using AI-assisted digital cytology within an HPV-based cervical screening programme: A model-based evaluation for the NHS Cervical Screening Programmes.

OBJECTIVES: We aimed to estimate the time required to review and report cervical cytology slides within a Human Papillomavirus (HPV)-primary cervical ...

Tissue Biology and the Biomechanics of Modern Gastrointestinal Stapling: Principles for Successful Surgical Stapling.

BackgroundThe integration of gastrointestinal (GI) tissue biology with modern stapler mechanics remains a critical gap in optimizing surgical outcomes...

The evolving role of the histotechnologist in digital, value based healthcare.

Digital pathology and value-based healthcare (VBHC) are converging to reshape diagnostic medicine, yet the histotechnologist, whose tissue preparation...

The Performance of ChatGPT-4o and DeepSeek-R1 in Interpreting Thyroid Nodule Ultrasound Text Reports: Multicenter Study.

BACKGROUND: Although thyroid nodules are detected in up to 60% of adults on ultrasound, the vast majority are benign, creating a substantial decision-...

Integrating single-cell and bulk transcriptomics to identify a SUMOylation-related prognostic signature and the oncogenic role of VPS72 in hepatocellular carcinoma.

INTRODUCTION: Hepatocellular carcinoma (HCC) is a highly aggressive malignancy characterized by limited therapeutic options and significant cellular h...

Recycled Aggregate Green Concrete with Graphene Oxide-Coated PVA Fibers: Performance Improvement and Life Cycle Evaluation.

Recycled aggregate concrete provides a sustainable route to reduce natural aggregate consumption and promote the recycling of construction and demolit...

Comment on "Improved Sub-Visible Particle Classification in Flow Imaging Microscopy via Generative AI-Based Image Synthesis".

Classification of malignant/benign groups in lung cancer by machine learning and investigation of feature significance of parameters.

OBJECTIVES: This study aimed to apply machine learning (ML) models to enhance lung cancer (LC) classification, distinguishing malignant from benign tu...

Combined Analysis of scRNA-seq and Bulk RNA-seq Sequencing Revealing the Heterogeneity of Recurrent Respiratory Papillomatosis and Key Molecular Mechanisms of Its Occurrence and Development.

OBJECTIVE: Recurrent respiratory papillomatosis (RRP) is a benign tumor that is highly prone to recurrence and has the potential to become malignant, ...

A hybrid experimental and machine learning framework for designing and predicting compressive strength of ultra-high-performance concrete.

Ultra-high-performance concrete (UHPC) offers exceptional mechanical and durability properties but often relies on quartz powder, raising sustainabili...

Bisphenol A exposure in myasthenia gravis: Potential targets and mechanisms revealed by network toxicology and molecular dynamics.

BACKGROUND: Myasthenia gravis (MG) is a B-cell-mediated autoimmune disease characterized by impaired neuromuscular transmission. Although genetic pred...

Cross-modal mapping of cancer stem-like cell plasticity using deep learning.

Cancer stem-like cells (CSCs) play a pivotal role in driving tumor heterogeneity, therapeutic resistance, and disease progression. Despite the power o...

Time-dependent prognostic value of automated Ki67 assessment and its integration with molecular risk profiling in WHO grade 2 meningioma.

WHO grade 2 meningiomas exhibit highly heterogeneous clinical courses. While the Ki67 proliferation index is a standard biomarker, its prognostic util...