Pathology

A temporal-spectral dual-stream anti-noise bearing fault diagnosis model based on adaptive mode decomposition.

In recent years, deep learning-based bearing fault diagnosis models have achieved remarkable performance under ideal experimental conditions. However, the accuracy and reliability of these models degrade significantly in real industrial scenarios where the acquired signals are often contaminated by strong background noise. Although a variety of anti-noise bearing fault diagnosis approaches have be...

[Role and limitations of genome-wide DNA methylation profiling in the diagnosis of brain tumors].

Genome-wide DNA methylation profiling, a high-throughput epigenomic technology, systematically examines the methylation status of CpG sites across the genome to generate "methylation fingerprints" that reflect cellular origins and developmental states. This technique has emerged as a transformative tool in the diagnosis of central nervous system (CNS) tumors. This article introduces the principles...

Integrated CT-PET radiogenomics and graph-based multi-task learning for preoperative prediction of key glioma molecular markers.

BACKGROUND: The clinical management of glioma is increasingly dependent on the tumor's molecular profile, particularly the mutation status of Isocitra...

A histopathologically verified dataset of magnifying narrow-band imaging endoscopy for classifying the gastric precancerous cascade.

Gastric cancer is a leading cause of mortality worldwide, yet the development of computer-aided diagnosis (CAD) systems for its early detection is hin...

AI-assisted histomorphological stratification of endometrial cancer: real-world validation of foundation models for molecular subtyping.

Endometrial cancer (EC) is classified into four molecular subtypes with distinct prognosis and treatment implications. Despite this well-established m...

Deep learning-based automated classification of endometrial lesions in IVF patients using hysteroscopic images.

Endometrial health is a key determinant of female fertility and successful pregnancy outcomes, making the accurate diagnosis of endometrial lesions es...

Explainable AI reveals squamous histology and U-shaped PD-L1 patterns as primary subgroup predictors of neoadjuvant and perioperative immunotherapy benefit in NSCLC: a machine learning analysis.

BACKGROUND: The introduction of neoadjuvant and perioperative immunotherapy has broadened treatment options for resectable non-small cell lung cancer ...

Mechanism of liquiritin from Codonopsis pilosula-Glycyrrhiza uralensis extract in alleviating piglet weaning stress via binding to alpha-1-microglobulin/bikunin precursor by machine learning and molecular dynamics simulation.

Weaning stress is a prevalent pathological condition in pig farming, primarily triggered by factors such as nutritional imbalance, oxidative stress, i...

Clinical Implications and Research Progress of Salivary Biomarkers for Endocrine and Metabolic Disorders.

AIMS: Similar to blood, saliva contains a broad range of biomarkers and may offer a non-invasive, repeatable specimen for endocrine and metabolic asse...

Machine Learning-Guided Survival Prediction and Treatment Sequencing in Advanced Soft Tissue Sarcoma Beyond Second-Line Therapy: A Retrospective Cohort Study.

INTRODUCTION: Evidence guiding the optimal sequencing of later-line systemic therapy in advanced soft tissue sarcoma (STS) remains limited. The aim of...

Unsupervised deep learning enables blur-free resolution enhancement in two-photon microscopy.

Two-photon microscopy enables the non-invasive imaging of deep living tissue. Quantitative three-dimensional analysis is hampered by axial blur and an...

Hyperspectral Imaging for Breast-Conserving Surgery Margin Assessment: A Systematic Review.

CONTEXT.—: Breast-conserving surgery (BCS) offers comparable overall survival rates to mastectomy. However, 14% to 37% of cases require re-excision ow...

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study.

BACKGROUND: The introduction of genomic profiling as a tool for molecular classification and clinical outcome prediction has revolutionised the care o...

Deep learning based on multiparametric MRI for differentiating benign from malignant PI-RADS 3 prostate lesions: a dual-center study.

To address the diagnostic challenge of indeterminate PI-RADS 3 prostate lesions, we developed a non-invasive deep learning radiomics model using multi...

The SALV-Dataset Registry: An Expertly Curated Digital Clinicopathological Dataset for Salivary Gland Tumor Research and AI-Assisted Diagnostic Tools.

UNLABELLED: Salivary gland tumors are rare and morphologically diverse, posing both diagnostic and scientific challenges. This study presents the firs...

Comprehensive benchmarking of deep learning architectures for multiclass histopathological classification of oral epithelial lesions.

BACKGROUND: Accurate histopathological differentiation of normal oral epithelium, oral epithelial dysplasia (OED) and oral squamous cell carcinoma (OS...

A decision-oriented framework for genomic testing across the prostate cancer continuum.

Genomic testing is now embedded in contemporary prostate cancer care, yet the clinical meaning of different genomic platforms varies substantially by ...

A systemic immune signature stratifies early-stage breast cancer patients and reveals soluble IL-2RA and PD-1 as potential independent prognostic biomarkers.

BACKGROUND: Breast cancer (BC) is the most common cancer in women and the leading cause of cancer-related death worldwide. Systemic immune dysregulati...

Advancement of deep learning models with whole slide image in diagnosis, subtyping and prognosis for glioma.

Gliomas are heterogeneous primary central nervous system (CNS) tumors with diverse molecular subtypes and variable prognosis. A paradigm shift in hist...

Understanding resistance in glioblastoma: insights into personalized and targeted therapeutic strategies.

Glioblastoma multiforme (GBM) is the most common and aggressive primary malignant brain tumor. Despite combined treatments, including surgical removal...