Latest AI and machine learning research in pathology for healthcare professionals.
The association between obesity and cancer risk carries substantial public health ramifications as obesity promotes cancer advancement via many cellular and molecular mechanisms. This study utilizes Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and narrative systematic review guidelines to evaluate 221 research articles selected from an initial collection of 1,288 pub...
Non-small cell lung cancer (NSCLC) constitutes over 80% of lung cancer cases and remains a leading cause of cancer-related mortality worldwide. Despite the advent of immune checkpoint inhibitors, their efficacy is limited to 27 to 45% of patients. Identifying likely treatment responders is essential for optimizing healthcare and improving quality of life. We generated multiplex immunofluorescence ...
Ovarian cancer remains a significant cause of mortality among women, largely due to challenges in early detection. Current screening strategies, inclu...
The combination therapy of mirabegron (MIR) and tadalafil (TAD) has gained significant attention in clinical practice for the treatment of Benign Pros...
Antiphospholipid syndrome is a rare systemic autoimmune disorder with complex pathophysiology and high heterogeneity in clinical presentation and trea...
Precise intraoperative delineation of tumor margin is critical for maximizing resection completeness and minimizing recurrence in head and neck cancer...
Liquid biopsy has gained attention in oncology as a non-invasive diagnostic tool, offering valuable insights into tumor biology through the analysis o...
Chloroplast density in cells varies among different types of cells and plants. In current single-cell spatiotemporal analysis, the automatic detection...
BACKGROUND: Malignant pleural mesothelioma (MPM) is a rare type of tumor closely associated with asbestos exposure. Increasing evidence shows that hig...
Aging processes underlie common chronic cardiometabolic diseases such as heart failure and diabetes. Cross-organ/tissue interactions can accelerate ag...
As nanostructures in the semiconductor industry become smaller and more complex, non-destructive characterization methods capable of measuring buried ...
In histopathology, acquiring subcellular-level three-dimensional (3D) tissue structures efficiently and without damaging the tissues during serial sec...
Multiplex tissue imaging enables single-cell spatial proteomics and transcriptomics but remains limited by incomplete molecular profiling, tissue loss...
Expression of immediate early genes (IEGs) is critical for memory formation and has been widely used to identify the neural substrate of memory traces...
Inflammatory bowel disease (IBD) refers to a chronic inflammatory condition involving the GI tract that includes Crohn's disease (CD) and ulcerative c...
RATIONALE AND OBJECTIVES: Our objective is to develop and validate a deep learning radiomics nomogram (DLRN) based on preoperative ultrasound images a...
Clear cell renal cell carcinoma (ccRCC) is the most prevalent form of kidney cancer, distinguished by intricate interactions between metabolic reprogr...
Hyperspectral imaging (HSI) and machine learning (ML) have been employed in the medical field for classifying highly infiltrative brain tumours. Altho...
Malaria is a disease that can result in a variety of complications. Diagnosis is carried out by an optical microscope and depends on operator experie...
Pathogenic yeasts are an increasing concern in healthcare, with species like often displaying drug resistance and causing high mortality in immunocom...