Latest AI and machine learning research in pathology for healthcare professionals.
ETHNOPHARMACOLOGICAL RELEVANCE: Ulcerative colitis (UC) is a chronic inflammatory bowel disease char...
Medical imaging plays a central role in modern clinical decision-making by transforming raw image da...
Cancer remains a leading cause of global mortality, with early diagnosis being pivotal for improving...
Right ventricular (RV) enlargement or dysfunction evaluation is the cornerstone for diagnosis, progn...
Nitenpyram (NIT) is an insecticide used primarily for flea control in pets, especially cats and dogs...
This study presents an incremental learning framework to enhance the generalization and robustness o...
Alzheimer's Disease (AD) is a degenerative disorder of the brain that causes a gradual loss of cogni...
Glioblastoma multiforme (GBM), the most malignant subtype of glioma, poses significant diagnostic ch...
BACKGROUND: Women with a history of breast cancer face an elevated risk of developing contralateral ...
BACKGROUND: Early detection of cancer and precise recurrence monitoring remain major unmet needs in ...
MicroRNAs (miRNAs) serve as crucial biomarkers in disease diagnosis. Although silicon-based electron...
OBJECTIVE: To develop machine-learning models that incorporate clinical information and radiomics fe...
Breast cancer remains a leading global health concern in women, while screening is still limited by ...
Percutaneous nephrostomy is widely used in kidney access surgeries. Despite its prevalence in urolog...
BACKGROUND: Intrahepatic cholangiocarcinoma (ICCA) is a rare but highly lethal adenocarcinoma arisin...
OBJECTIVE: To examine the association between body composition metrics derived from preprocedural co...
INTRODUCTION: With the rapid advancement of artificial intelligence (AI) technology, AI has been app...
PFOA, an environmental pollutant linked to bladder cancer, has unclear molecular mechanisms. Integra...
Photodynamic Diagnosis (PDD) is a non-invasive imaging technique. It relies on a photosensitizer tha...
Effective diagnosis and treatment of lung adenocarcinoma depends on accurate typing, subtyping, and ...