Pathology

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

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Artificial intelligence-driven label-free detection of chronic myeloid leukemia cells using ghost cytometry.

Early diagnosis and treatment initiation of chronic myeloid leukemia (CML) are considered to increas...

A novel approach to overcome black box of AI for optical diagnosis in colonoscopy.

Accurate real-time optical diagnosis that distinguishes neoplastic from non-neoplastic colorectal le...

Bearing fault diagnosis for variable operating conditions based on KAN convolution and dual branch fusion attention.

This paper proposes a bearing fault diagnosis method based on Kolmogorov-Arnold Convolutional Networ...

Integrative machine learning and molecular simulation approaches identify GSK3β inhibitors for neurodegenerative disease therapy.

Neurodegenerative diseases (NDDs), including Alzheimer's disease (AD) and Parkinson's disease (PD), ...

Spatial patterns of hepatocyte glucose flux revealed by stable isotope tracing and multi-scale microscopy.

Metabolic homeostasis requires engagement of catabolic and anabolic pathways consuming nutrients tha...

Deep learning assessment of metastatic relapse risk from digitized breast cancer histological slides.

Accurate risk stratification is critical for guiding treatment decisions in early breast cancer. We ...

Quantifying complexity in DNA structures with high resolution Atomic Force Microscopy.

DNA topology is essential for regulating cellular processes and maintaining genome stability, yet it...

Aggressiveness-guided nodule management for lung cancer screening in Europe-justification for follow-up intervals and definition of growth.

The European Society of Thoracic Imaging (ESTI) nodule management recommendation for lung cancer scr...

Automatic cell classification and quantification with machine learning in immunohistochemistry images.

The incidence of lymphoma, a cancer that affects both humans and animals, has witnessed a significan...

Construction of prognostic scoring model for ovarian cancer based on deep learning algorithm.

Ovarian cancer is one of the deadliest cancers of the female reproductive system, with poor prognosi...

Enhanced Histopathological Image Reconstruction and Classification Using Multi-Input Super-Resolution and Lightweight Neural Networks.

Liver cancer is one of the leading causes of mortality in cancer-related diagnoses in previous years...

Therapeutic horizons in metabolic dysfunction-associated steatohepatitis.

Metabolic dysfunction-associated steatohepatitis (MASH), the progressive inflammatory form of MASLD,...

Spatial domain detection using contrastive self-supervised learning for spatial multi-omics technologies.

Recent advances in spatially resolved single-omic and multi-omics technologies have led to the emerg...

MRI's evolving role in rectal cancer in the era of personalized medicine.

Recent decades have seen great advances in the diagnosis and management of rectal cancer, and magnet...

A novel approach for classifying patients with adrenal tumors based on decision support systems and artificial intelligence.

AIMS: Adrenal incidentalomas (AIs) encompass a wide range of clinical entities, from incidental beni...

Leveraging Representation Learning for Bi-parametric Prostate MRI to Disambiguate PI-RADS 3 and Improve Biopsy Decision Strategies.

OBJECTIVES: Despite its high negative predictive value (NPV) for clinically significant prostate can...

An Artificial Intelligence Tool for the Diagnosis of Facial Pain.

BACKGROUND AND OBJECTIVES: Differentiation between temporomandibular disorders (TMDs) and trigeminal...

Recent topics on thyroid cytopathology: reporting systems and ancillary studies.

As fine-needle aspiration techniques and diagnostic methodologies for thyroid nodules have continued...

Automatic Multiclass Tissue Segmentation Using Deep Learning in Brain MR Images of Tumor Patients.

OBJECTIVE: Precise delineation of brain tissues, including lesions, in MR images is crucial for data...

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