Latest AI and machine learning research in pathology for healthcare professionals.
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...
BACKGROUND & AIMS: Resmetirom, a thyroid hormone beta (THR-β) agonist, has been shown to improve met...
BACKGROUND: 2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) is a highly toxic, recalcitrant persistent or...
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 ...
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...
It is imperative to identify patients with prostate cancer (PCa) who will not benefit from androgen ...
UNLABELLED: Major depressive disorder (MDD), a prevalent mental illness, currently lacks reliable bi...
We present the Light My Cells Database, a large-scale open-access collection comprising 2,574 acquis...
BACKGROUND: Enchondromas (EC) present cartilaginous tumors that are difficult to differentiate from ...
INTRODUCTION: The advancement of AI-assisted oral disease diagnosis critically relies on the availab...
Functional hyperemia is a well-established hallmark of healthy brain function, whereby local brain b...
OBJECTIVE: To evaluate the feasibility of using deep learning models applied to digital breast tomos...
OBJECTIVES: To evaluate the image quality, interpretation consistency, and scanning efficiency of de...