Pathology

Detection of Lung and Colon Cancer Using XRx-Net With Histopathological Images.

Lung and Colon Cancer (LCC) is a prevalent type of cancer influenced by factors such as genetics, smoking, second-hand smoke exposure, and alcohol consumption. Traditionally, cancer diagnosis, including grading and staging, relies on histopathology, where pathologists examine samples under a microscope. This process is time-consuming and complex. To address these challenges, the Xception ResNeXT N...

Ontology-aware DNA methylation classification with a curated atlas of human tissues and cell types.

DNA methylation is a key regulatory mechanism reflecting both short- and long-term biological stimuli. While it has been widely used to study aging through disease-associated methylation shifts, its potential for revealing tissue-specific shifts remains underexplored due to the lack of comprehensive reference atlases with correspondingly systematic analysis framework. To address this, we assemble ...

Downregulated lysyl oxidase in plasma extracellular vesicles: a biomarker linked to brain metastasis risk in lung adenocarcinoma.

BACKGROUND: Brain metastasis (BrM) is a leading cause of mortality in patients with lung adenocarcinoma (LUAD). Extracellular vesicles (EVs), which ca...

Machine learning-driven molecular engineering of nucleic acids.

Molecular engineering has played a pivotal role in biomedical fields, driving significant advancements in gene therapy, disease diagnosis, and biosens...

Label-Free, AI-Driven Evanescent Microscopy Decodes Single-Cell Membrane Protein Binding Kinetics and Adhesion Biomechanics.

Quantifying ligand interactions with membrane proteins in their native cellular environment is crucial for understanding cellular processes and drug s...

Artificial intelligence for diagnosis and triage in oral cancer: a clinician‑centered narrative review.

BACKGROUND: Early diagnosis of oral squamous cell carcinoma (OSCC) remains challenging, with survival largely stage-dependent at presentation. Artific...

AeroGPT: Leveraging Large-Scale Audio Model for Aero-Engine Bearing Fault Diagnosis.

Aerospace engines, as critical components in the aviation and aerospace industries, require continuous and accurate fault diagnosis to ensure operatio...

24-hour physical activity, sedentary behaviour and sleep profiles in individuals with cancer: a UK Biobank cohort study.

BACKGROUND: Behaviours across a 24-hour day, including physical activity, sedentary time and sleep, are disrupted following cancer and contribute to c...

Multiclass Radiomics-Based Prediction of BRAF Mutation Status in Pediatric Low-Grade Gliomas Using Multisequence MRI.

BACKGROUND AND PURPOSE: Pediatric low-grade gliomas (pLGGs) are the most common brain tumors in children and frequently harbor BRAF alterations, most ...

Molecular and immunological heterogeneity of eosinophilic esophagitis: Insights and subtyping.

BACKGROUND: Eosinophilic esophagitis (EoE) and its related subtypes-such as EoE-like esophagitis, lymphocytic esophagitis, and nonspecific esophagitis...

Prediction of facial profiles following orthodontic treatment in adult Class III patients using deep neural networks with feature fusion.

OBJECTIVE: This study proposed a cascaded framework based on deep neural networks that integrate cephalogram and landmark data to predict soft tissue ...

PCa-Mamba: Spatiotemporal state space models for prostate cancer detection in multi-parametric MRI.

Multiparametric Magnetic Resonance Imaging (mpMRI), including T2-weighted imaging (T2), diffusion-weighted imaging (DWI), and dynamic contrast-enhance...

Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study.

BACKGROUND: Genomic assays such as Oncotype DX have transformed adjuvant treatment selection for hormone receptor-positive, HER2-negative, early breas...

SMC-LUD:Large-Scale B-Mode Liver Ultrasound Dataset for Hepatocellular Carcinoma and Hemangioma Classification.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality globally, and accurate classification of liver lesions using ultrasound ...

[Application of artificial intelligence in pathological diagnosis of ocular tumors].

Ocular tumors encompass ocular surface tumors, orbital tumors, and intraocular tumors, characterized by high heterogeneity and complex classifications...

Diagnosing orthopaedic infection by identifying neutrophils in whole histology slide images with machine learning trained on publicly available datasets.

AIMS: This study examines the ability of YOLO (You Only Look Once) 11x, a widely used and state of the art object detection model, trained on publicly...

Color standardization in whole slide imaging: a method to reduce color variability.

Color standardization in digital pathology is essential for ensuring consistency across Whole Slide Imaging (WSI) scanners. This study utilizes color ...

Computer-aided diagnosis of papillary thyroid carcinoma based on deep learning technology.

This article examines global thyroid cancer（TC） incidence trends, with emphasis on epidemiological patterns in China, where papillary thyroid carcinom...

A metabolic-immune subtype of breast cancer defined by G6PD and SHMT2: From single‑cell dissection to dual-targeted therapy.

Breast cancer heterogeneity limits the precision of current prognostic and therapeutic strategies, underscoring the need for molecular frameworks that...

PIBAdb: a public cohort of multimodal colonoscopy videos and images including polyps with histological information.

BACKGROUND AND OBJECTIVE: Colorectal cancer is the third most common cancer worldwide and presents a high mortality rate. Colonoscopy is the gold stan...