Latest AI and machine learning research in pathology for healthcare professionals.
Nucleus segmentation in immunohistochemistry (IHC) images plays a critical role in cancer diagnosis and treatment assessment. However, existing methods remain limited in segmentation accuracy and boundary delineation due to staining heterogeneity, densely packed cell distributions, and complex background interference. To address these challenges, this paper proposes a two-stage nucleus segmentatio...
Fatigue in metallic materials is a cost-intensive engineering challenge due to unpredictable occurrences when undergoing cyclic loading. Particularly vulnerable is dwell fatigue, where the hold time significantly reduces life. The unpredictability is attributed to microstructure-dependent crack nucleation (a significant portion of life) in polycrystalline microstructures with evolving mechanisms. ...
Cell-free DNA (cfDNA) in plasma provides attractive opportunities for early cancer diagnosis. This study aimed to establish gastric cancer (GC) artifi...
BACKGROUND: The infection of high-risk human papillomavirus (hr-HPV) and related cervical cancer have greatly threatened women's health. However, the ...
Oral potentially malignant disorders (OPMDs) can directly progress to cancer, necessitating accurate risk prediction to guide clinical intervention. H...
INTRODUCTION: Type 2 diabetes (T2D) is a progressive metabolic disorder characterized by insulin resistance and progressive β-cell dysfunction. Early ...
Systemic sclerosis (SSc) is characterized by fibrosis and vasculopathy affecting the skin and internal organs, leading to multiorgan dysfunction. Inju...
Increasing evidence suggests that disulfidptosis plays a crucial role in tumorigenesis and progression. This study aimed to identify biomarkers closel...
Certain characteristics, such as high heterogeneity, a complex tumor microenvironment, metastatic potential, and drug resistance, render Lung cancer (...
Gliomas are the most common type of primary brain tumors. Their management options and outcomes depend significantly on the underlying molecular-marke...
The widespread adoption of computed tomography has increased the detection of lung nodules. However, deep learning methods for classification of benig...
Accurate differentiation between benign and malignant thyroid nodules remains challenging in clinical practice. Current deep learning approaches predo...
Convolutional Neural Networks are widely used in lung cancer detection for more than a decade. However, it suffers from preserving spatial relationshi...
The advantage of Raman spectroscopy (RS) in renal analysis lies in its capacity to non-invasively acquire label-free molecular vibrational fingerprint...
Exposure to perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS) has been associated with the development of various malignant tumors. H...
Programmed cell death (PCD) and cellular immunity play pivotal roles in colorectal cancer (CRC) progression; understanding their crosstalk and identif...
Liquid biopsy via plasma cell-free DNA (cfDNA) is transforming precision medicine by enabling non-invasive insights into the genomic and epigenomic la...
BACKGROUND: The exact molecular mechanisms governing a heightened risk of chronic spontaneous urticaria (CSU) associated with autophagy remain largely...
The 6th edition of the WHO Classification of Breast Tumours introduces both major and minor changes based on recent advances in our understanding of b...
The transformation of anatomic pathology from microscope-based practice to digital and computational workflows has created unprecedented opportunities...