Latest AI and machine learning research in pathology for healthcare professionals.
BACKGROUND: Determination of estrogen receptor (ER) and progesterone receptor (PR) status is critica...
The emergence of digital pathology (DP) has provided numerous computer-aided diagnosis (CAD) opportu...
BACKGROUND: Magnetic resonance imaging (MRI) of breast tissue is often used to definitively diagnose...
Precise profiling of multiple circulating tumor DNA (ctDNA) is hindered by the challenge of resolvin...
BACKGROUND AND OBJECTIVES: The far-lateral approach remains essential for accessing ventral and vent...
Malignant diseases remain one of the leading causes of death globally. Drug synergy has emerged as a...
PURPOSE: In recent years, much research has been conducted on ultrasound diagnosis of breast tumors ...
Transoral laser microsurgery (TOLMS) is an established organ-preserving treatment for early-stage an...
Glioblastoma (GBM) is the most common malignant intracranial tumor in adults, with a median survival...
BACKGROUND: Fluorescent microscopy using the DRAQ5 and Eosin probes has been shown in the literature...
Bridged azobenzene derivatives are key photo-responsive molecular switches. However, probing and int...
The search for biological mechanisms of human aging is stalled by a lack of suitable models, and it ...
Cancer remains a leading cause of mortality and morbidity, with surgical resection being a fundament...
Tackling cancer with effective therapies is a major challenge our society faces with significant cos...
Histological techniques are valuable tools in various biological and medical disciplines. They have ...
Pathological voice detection provides a non-invasive and cost-effective approach for the early scree...
We propose an ensemble learning approach to classify malignant versus benign breast lesions leveragi...
Distal biliary strictures (DBS) are a common and complex clinical problem in pancreaticobiliary dise...
Artificial intelligence (AI) has been transforming many aspects of medical care. In prostate cancer,...
BACKGROUND: Acute kidney injury (AKI) in critically ill patients is clinically complex and heterogen...