Pathology

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

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Symbolic and hybrid AI for brain tissue segmentation using spatial model checking.

Segmentation of 3D medical images, and brain segmentation in particular, is an important topic in ne...

Role of machine learning in molecular pathology for breast cancer: A review on gene expression profiling and RNA sequencing application.

INTRODUCTION: Breast cancer is the most prevalent cancer among women, with growing incidence and mor...

Image guided construction of a common coordinate framework for spatial transcriptome data.

Spatial transcriptomics is a powerful technology for high-resolution mapping of gene expression in t...

An overview of recent advancements in 4D printing of alginate hydrogels for tissue regeneration.

4D printing of alginate hydrogels has emerged as a transformative strategy in tissue engineering, en...

Advancing open-source visual analytics in digital pathology: A systematic review of tools, trends, and clinical applications.

Histopathology is critical for disease diagnosis, and digital pathology has transformed traditional ...

Liquid Biopsy: The Challenges of a Revolutionary Approach in Oncology.

Liquid biopsy has gained attention in oncology as a non-invasive diagnostic tool, offering valuable ...

Enhancing Label-Free Fluorescence Lifetime Imaging for Intraoperative Tumor Margin Delineation in Head and Neck Cancer using Data-Centric AI.

Precise intraoperative delineation of tumor margin is critical for maximizing resection completeness...

Motor fault diagnosis method based on spiking convolutional neural network with multi-scale decomposition local features.

Motor fault diagnosis has been widely focused on various manufacturing systems. Traditional neural n...

HL-BscPF: Hybrid learning facilitates brain cell auto-identification in multiple pathologies.

AIMS: The rapidly growing scale and complexity of single-cell transcriptomic data in brain research ...

Ovarian Cancer Screening: Recommendations and Future Prospects.

Ovarian cancer remains a significant cause of mortality among women, largely due to challenges in ea...

Single-cell multimodal analysis reveals tumor microenvironment predictive of treatment response in non-small cell lung cancer.

Non-small cell lung cancer (NSCLC) constitutes over 80% of lung cancer cases and remains a leading c...

Mechanisms underlying obesity-malignancy connection: a systematic narrative review.

The association between obesity and cancer risk carries substantial public health ramifications as o...

Extended Linear Confined Zipper Cascaded Reaction for Highly Efficient Intracellular Imaging and Assisting Diagnosis of Thyroid Cancer.

Highly sensitive detection and in situ tracing analysis of small-molecule biomarkers are particularl...

Mitigating bias in prostate cancer diagnosis using synthetic data for improved AI driven Gleason grading.

Prostate cancer (PCa) is a leading cause of cancer-related mortality in men, with Gleason grading cr...

Immune-related gene risk model establishment and role of key gene FUCA1 in malignant pleural mesothelioma.

BACKGROUND: Malignant pleural mesothelioma (MPM) is a rare type of tumor closely associated with asb...

DeepD&Cchl: an AI tool for automated 3D single-cell chloroplast detection, counting, and cell type clustering.

Chloroplast density in cells varies among different types of cells and plants. In current single-cel...

Aging at the Crossroads of Organ Interactions: Implications for the Heart.

Aging processes underlie common chronic cardiometabolic diseases such as heart failure and diabetes....

Diagnostic Methods and Biomarkers in Inflammatory Bowel Disease.

Inflammatory bowel disease (IBD) refers to a chronic inflammatory condition involving the GI tract t...

Combinative protein expression of immediate early genes c-Fos, Arc, and Npas4 along aversive- and reward-related neural networks.

Expression of immediate early genes (IEGs) is critical for memory formation and has been widely used...

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