Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Lymphoma-associated haemophagocytic lymphohistiocytosis (LA-HLH) is associated with a high mortality...
BACKGROUND: The gut-liver axis plays a critical role in liver disease progression; however, how gut ...
PURPOSE: To assess the impact of defacing-based deidentification techniques on reidentification risk...
Liver cancer, particularly hepatocellular carcinoma (HCC), is a significant global health concern du...
BACKGROUND: Diet-related chronic conditions are major contributors to global morbidity and mortality...
BACKGROUND: Hepatocellular carcinoma (HCC) is a critical condition characterized by unchecked cellul...
Recent studies highlight the role of uric acid in tumor development, but its impact on prostate canc...
Accurate staging of prostate cancer is essential for guiding therapy and predicting outcomes. Prosta...
Ligand-receptor pair analysis, a key aspect of cell-to-cell interactions, is vital for understanding...
The integration of artificial intelligence (AI) with nanotechnology is redefining therapeutic strate...
OBJECTIVES: Intratumoral tertiary lymphoid structures (iTLSs) are prognostic biomarkers for hepatoce...
INTRODUCTION: With rapid expansion of artificial intelligence (AI) in clinical documentation, respon...
Colorectal cancer (CRC) remains a significant global health challenge due to its high prevalence and...
BACKGROUND: Lung cancer, especially small-cell lung cancer (SCLC), is a widespread and deadly diseas...
Brain and central nervous system (CNS) malignancies represent a substantial burden on healthcare sys...
Disorders of the central nervous system (CNS), neurological disorders, neurodegenerative disorders, ...
The immunosuppressive tumor microenvironment (TME) and intrinsic heterogeneity of ovarian cancer (OC...
OBJECTIVE: Accurate imaging-based differentiation of benign and malignant parotid tumors is essentia...
BACKGROUND: Small cell lung cancer (SCLC) is an aggressive neuroendocrine malignancy characterized b...
This comment evaluates dela Cruz-Chuh et al.'s AI-based label-free workflow for analyzing T-cell med...
OBJECTIVES: This study aimed to conduct a comparative quality assessment of information provided by ...