Latest AI and machine learning research in other cancers for healthcare professionals.
Delayed diagnosis of Parkinson's disease (PD) due to undetectable early pathological changes remains...
UNLABELLED: Despite advances in pharmacotherapy, many patients with inflammatory arthritis (IA) expe...
INTRODUCTION: High-grade serous carcinoma (HGSC) is the most common and aggressive subtype of ovaria...
Prostate cancer is among the most common male malignancies worldwide, with recent advances in molecu...
Prostate cancer (PCa) is among the most prevalent malignancies affecting men globally. The immunosup...
Thymic epithelial tumors (TETs), comprising thymomas, thymic carcinomas, and thymic neuroendocrine n...
Early detection of small metastatic foci is crucial for improving breast cancer patient survival. Pl...
BACKGROUND: AI-generated images can support or impede health communication efforts and influence per...
Squamous cell carcinoma (SCC) is a common malignancy that arises in diverse organs and often exhibit...
The existing TNM staging system provides insufficient prognostic information in gastric cancer (GC) ...
BACKGROUND: Sorafenib resistance has limited the therapeutic efficacy in advanced renal cell carcino...
Identifying the potential relationships between microRNAs (miRNAs) and human diseases is vital for a...
PURPOSE: An emerging application of artificial intelligence (AI) in cervical cytology is its use as ...
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a highly invasive and lethal malignancy, with...
OncoEducate is a clinician-supervised generative artificial intelligence (AI) application designed t...
BACKGROUND AND AIM: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldw...
Metabolic dysfunction-associated steatotic liver disease (MASLD) poses significant diagnostic challe...
BACKGROUND: Cervical squamous cell carcinoma is a major global health burden, with many patients pre...
PURPOSE: Preoperative identification of lymph node metastasis (LNM) in cervical cancer is crucial fo...
The tumor microenvironment (TME), composed of tumor cells together with stromal cells, immune cells,...
Somatic variant calling algorithms typically detect mutations in cancer genomes by comparing sequenc...