Pathology

Electrochemical biosensors for Calreticulin in lung Cancer.

Electrochemical biosensors represent an advanced and novel technology for the sensitive and specific detection of clinically relevant biomarkers. Of these, serum calreticulin (CRT), an indicator of immunogenic cell death (ICD), has great potential as a biomarker in lung cancer. Clinical studies have reported that soluble calreticulin is significantly higher in the serum of lung cancer patients tha...

Detection of prostate cancer in 3D pathology datasets via generative immunolabeling.

Recent advancements in nondestructive 3D pathology offer a complement to standard histology by enabling comprehensive volumetric analyses of intact clinical specimens (e.g. biopsies). Prior studies have demonstrated the added prognostic value of 3D pathology for prostate cancer risk stratification by correlating 3D microarchitectural features with long-term patient outcomes. However, these analyse...

Minor salivary gland biopsy in Sjogren's disease: a diagnostic and prognostic tool toward precision medicine.

Minor salivary gland biopsy occupies a distinctive position in the evaluation of Sjögren disease (SjD), offering diagnostic and prognostic insights th...

Multifunctional biosensors redefining liquid biopsy: advancing simultaneous multianalyte detection.

Liquid biopsy has revolutionized noninvasive disease diagnosis and monitoring by detecting circulating biomarkers such as tumor-derived DNA, miRNAs, p...

Automatic Detection of Subcellular-Scale Metabolic Dynamics via Spontaneous-Stimulated Raman Spatial Colocalization.

Cellular structural heterogeneity and low intrinsic contrast in label-free bright-field imaging hinder accurate localization of subcellular structures...

Identification and validation of mitochondrial metabolism-ralated biomarkers in coronary heart disease.

Coronary heart disease (CHD) affects life quality of patients by impaired coronary artery blood supply. We were planning to study the molecular mechan...

Anatomy-guided visual prompt tuning for cross-modal breast cancer understanding.

Early and reliable detection of breast cancer across imaging modalities remains a long-standing challenge due to the heterogeneous appearance of lesio...

A deep learning and morphometric hybrid model for automated quantification of kidney interstitial fibrosis in trichrome-stained whole-slide image.

BACKGROUND: Interstitial fibrosis (IF) is the strongest predictor of chronic kidney disease progression. Visual estimation of IF from trichrome (TRI)-...

A systematic evaluation of grayscale conversion methods for mitigating color variation in deep learning-based histopathological image analysis.

The clinical adoption of deep learning (DL) for histopathological image analysis is hindered by performance degradation caused by color variations ari...

Computational discovery and prioritization of ribose-5-phosphate isomerase A as a mitochondrial target for reversing senescence in mesenchymal stem cells.

Age-related osteoporosis is increasingly recognized as a disease of stem cell dysfunction, hallmarked by the skewed lineage commitment of mesenchymal ...

An integrative genomic framework to identify remote ischemic preconditioning-responsive genes associated with stroke risk.

BACKGROUND: Remote ischemic preconditioning (RIPC) is a promising, non-invasive strategy for reduction in ischemic injury after stroke, yet its molecu...

Omic analysis of the protein profile in digestive tumours, from proteomics to clinical practice.

Proteomics has emerged as a key tool in precision medicine, enabling in-depth molecular characterization of digestive tumours. This article outlines a...

Early detection of female-specific cancers using longitudinal healthcare records with a multichannel convolutional neural network.

OBJECTIVES: Female-specific cancers, including breast, ovarian, cervical and uterine malignancies, lack comprehensive early detection approaches, part...

Start4All protocol for a Bayesian cost-effectiveness model of tuberculosis screening and diagnosis in seven high burden low-income and middle-income countries.

INTRODUCTION: High costs of screening and diagnostic tests remain a major barrier to timely tuberculosis (TB) identification in resource-limited setti...

[The Digital Lab: Practical digital workflow and integration of AI for routine in pathology, through the example of prostate cancer].

Digital pathology is a major technological revolution for pathology. It modernizes routine practices and paves the way for the integration of artifici...

Radiomics-based differentiation of benign and malignant breast masses on contrast-enhanced mammography: a reproducible workflow using open-source tools.

PURPOSE: To differentiate benign and malignant breast masses by extracting radiomic features from low-energy and recombined contrast-enhanced mammogra...

Intelligent Stain-Free Histology on Structural Colorimetric Nanocavities.

Optical microscopic imaging and analysis are indispensable in modern pathology for providing conclusive evidence in disease diagnosis. However, the cu...

Advances in extracellular vesicle research: tools and techniques.

Extracellular vesicles (EVs) are lipid bilayer vesicles produced endogenously by all cell types and they contain cytosolic, extracellular, and membran...

Association of Circulating T Cell and Tumor Microenvironment Profiles with Immune Checkpoint Blockade Outcome in Sarcoma.

PURPOSE: Immune checkpoint blockade (ICB) benefits only a subset of sarcoma patients. Biomarkers of response and resistance are needed to help guide p...

Ancestry-Associated Performance Variability of Open-Source AI Models for EGFR Prediction in Lung Cancer.

IMPORTANCE: Artificial intelligence (AI) models are emerging as rapid, low-cost tools for predicting targetable genomic alterations directly from rout...