Latest Articles for Pathology

BEPH enhances cancer detection and survival prediction through innovative image analysis.

TRACE enhances drug safety evaluations by analyzing tissue samples with AI.

Foam cells impact various diseases through lipid accumulation and immune response.

Research reveals the role of immune cells in predicting oral cancer risk.

Honey reveals insights about plants and pathogens that affect honeybee health.

This method uses partial label information to improve tumor classification in medical images.

Discover how the ENS controls gut functions and its role in diseases.

A novel approach using Triple U-Net enhances nuclei segmentation in medical images.

Machine learning combines slide images and gene expression for improved disease understanding.

This study examines how whole-genome doubling influences cancer development and treatment.

This study examines AI's potential in classifying ovarian cancer subtypes.

A fresh approach improves bladder cancer diagnosis accuracy.

BPGT enhances accuracy in predicting genetic mutations from tissue images for better cancer treatment.

Research sheds light on the complex relationship between myelin and nerve fibers.

A new model improves accuracy in breast cancer diagnosis using advanced image analysis.

A novel method enhances tissue image analysis for better disease diagnosis.

A look at how machine learning aids in diagnosing melanocytic atypia.

STimage-1K4M combines detailed images and gene data to enhance disease research.

A new method enhances pathology images for accurate disease diagnosis.

New method improves breast cancer diagnosis by analyzing multiple key factors simultaneously.

New AI system shows promise for diagnosing oral tumors effectively.

A new model enhances the integration of images and text in pathology.

HoloHisto enhances segmentation of high-resolution tissue images for better analysis.

DGR-MIL enhances cancer detection by focusing on instance diversity in whole slide images.

New AI model improves tumor segmentation and diagnosis in lung cancer.

New framework improves genetic biomarker prediction in colorectal cancer using whole slide images.

Exploring the impact of self-supervised learning in digital pathology research and clinical applications.

Exploring ORF75's expression and regulation in KSHV-related diseases.

A new method uses AI to enhance cancer grading accuracy.

GPC offers a single model for multiple pathology classification tasks.

CAMP model transforms pathology image classification for better diagnostics.

C-DASH enhances multi-photon microscopy for clearer biological imaging.

FALFormer improves accuracy in analyzing medical WSIs for diagnostics.

HistoGPT transforms how pathologists create reports from tissue images.

New models improve tissue image quality for better disease diagnosis.

A new dataset enhances reticulin fiber assessment in bone marrow biopsies.

A new method enhances accuracy in analyzing medical tissue images.

Investigating how infected cells respond through different death mechanisms.

A novel pooling method enhances AI for better cancer detection.

A new method combines imaging and genomic data to study cancer behavior.