Latest AI and machine learning research in pathology for healthcare professionals.
BACKGROUND: Distinguishing between benign and malignant testicular lesions on clinical magnetic reso...
INTRODUCTION: The recent US Food and Drug Administration approval of resmetirom for treating metabol...
The application of spatially resolved mass spectrometry (MS) and MS imaging approaches for studying ...
Liquid biopsy (LB) has emerged as a transformative tool in oncology, providing a minimally invasive ...
Despite improvements in machine learning algorithms applied to digital pathology, only moderate accu...
BACKGROUND: Prognostic histopathological features such as mitosis in melanoma are excluded from the ...
Liquid biopsies are an emerging, noninvasive tool for cancer diagnostics, utilizing biological fluid...
Single-cell RNA sequencing (scRNA-seq) is a powerful tool for characterizing tumor heterogeneity, ye...
The viability of cell-based medicinal products (CBMPs) is a critical quality attribute and must be a...
BACKGROUND: Virtual staining is an artificial intelligence-based approach that transforms pathology ...
Breast cancer is a leading cause of mortality worldwide. Screening therefore remains the best defens...
Skeletal muscle's elegant protein-based architecture powers motion throughout the animal kingdom, wi...
Magnetic fields enable remote manipulation of objects and are ideal for medical applications because...
Accurate cancer survival prediction plays a crucial role in assisting clinicians in formulating trea...
Histopathology image analysis plays a pivotal role in disease diagnosis and treatment planning, rely...
Malignant cerebral edema (MCE) is a severe complication of acute ischemic stroke, with high mortalit...
BACKGROUND: The accurate diagnosis of thyroid nodules represents a critical and frequently encounter...
For decades, electron microscopy has been the primary method to visualize ultrastructural details of...
Lung cancer remains one of the deadliest malignancies worldwide, highlighting the need for highly se...
This dataset covers the data obtained from the compression after impact (CAI) tests. Before the CAI ...
In this paper, we propose a lightweight Position Channel Transformer Network (PCT-Net) for segmentin...