Pathology

Latest AI and machine learning research in pathology for healthcare professionals.

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Applying YOLOv6 as an ensemble federated learning framework to classify breast cancer pathology images.

The most common carcinoma-related cause of death among women is breast cancer. Early detection is cr...

Improving myocardial infarction diagnosis with Siamese network-based ECG analysis.

BACKGROUND: Heart muscle damage from myocardial infarction (MI) is brought on by insufficient blood ...

A radiopathomics model for predicting large-number cervical lymph node metastasis in clinical N0 papillary thyroid carcinoma.

OBJECTIVES: This study aimed to develop a multimodal radiopathomics model utilising preoperative ult...

Deep Learning-Assisted Computer-Aided Diagnosis System for Early Detection of Lung Cancer.

PURPOSE: The largest cause of cancer-related fatalities worldwide is lung cancer. The dimensions and...

Spatially resolved transcriptomics and graph-based deep learning improve accuracy of routine CNS tumor diagnostics.

The diagnostic landscape of brain tumors integrates comprehensive molecular markers alongside tradit...

A novel approach in cancer diagnosis: integrating holography microscopic medical imaging and deep learning techniques-challenges and future trends.

Medical imaging is pivotal in early disease diagnosis, providing essential insights that enable time...

From errors to excellence: the pre-analytical journey to improved quality in diagnostics. A scoping review.

This scoping review focuses on the evolution of pre-analytical errors (PAEs) in medical laboratories...

Molecular Insights into α-Synuclein Fibrillation: A Raman Spectroscopy and Machine Learning Approach.

The aggregation of α-synuclein is crucial to the development of Lewy body diseases, including Parkin...

OCT-based diagnosis of glaucoma and glaucoma stages using explainable machine learning.

Glaucoma poses a growing health challenge projected to escalate in the coming decades. However, curr...

Identification of WDR74 and TNFRSF12A as biomarkers for early osteoarthritis using machine learning and immunohistochemistry.

BACKGROUND: Osteoarthritis (OA) is a chronic joint condition that causes pain, limited mobility, and...

A deep learning pipeline for three-dimensional brain-wide mapping of local neuronal ensembles in teravoxel light-sheet microscopy.

Teravoxel-scale, cellular-resolution images of cleared rodent brains acquired with light-sheet fluor...

Hybrid generative adversarial network based on frequency and spatial domain for histopathological image synthesis.

BACKGROUND: Due to the complexity and cost of preparing histopathological slides, deep learning-base...

STAIG: Spatial transcriptomics analysis via image-aided graph contrastive learning for domain exploration and alignment-free integration.

Spatial transcriptomics is an essential application for investigating cellular structures and intera...

Deep learning based analysis of G3BP1 protein expression to predict the prognosis of nasopharyngeal carcinoma.

BACKGROUND: Ras-GTPase-activating protein (GAP)-binding protein 1 (G3BP1) emerges as a pivotal oncog...

Machine learning models reveal microbial signatures in healthy human tissues, challenging the sterility of human organs.

BACKGROUND: The presence of microbes within healthy human internal organs still remains under questi...

Machine Learning Model for Risk Stratification of Papillary Thyroid Carcinoma Based on Radiopathomics.

RATIONALE AND OBJECTIVES: This study aims to develop a radiopathomics model based on preoperative ul...

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