Latest AI and machine learning research in other cancers for healthcare professionals.
Extracellular vesicles (EVs) are nanoscale, membrane-bound particles that transport diverse biomolec...
Breast cancer remains a leading cause of cancer-related mortality in women, and current prognostic m...
Single-cell transcriptomics and machine learning methods are increasingly used to identify immune-re...
Hepatocellular carcinoma (HCC) is an aggressive malignancy with limited therapies. We explored the a...
Myelofibrosis (MF) is a biologically heterogeneous myeloproliferative neoplasm characterized by cons...
Focal epilepsy constitutes 60-70% of epilepsy, and up to half of patients do not achieve seizure fre...
Artificial intelligence (AI) demonstrates potential throughout the cancer care continuum, with evide...
OBJECTIVE: Personalized tools for accurately predicting papillary thyroid carcinoma (PTC) patients' ...
BACKGROUND: Results from the IMPACT trial suggest that initiation of peanut oral immunotherapy (pnOI...
RATIONALE AND OBJECTIVES: Follicular neoplasms are difficult to classify by ultrasound, as they ofte...
RATIONALE AND OBJECTIVES: To develop and validate a Combined model integrating habitat-based sub-reg...
Breast cancer (BC) is a highly complex and heterogeneous malignancy and the most prevalent cancer am...
BACKGROUND: Neoadjuvant therapy (NAT) is recommended for locally advanced gastric cancer (LAGC), but...
INTRODUCTION: Thyroid cancer is the most common endocrine malignancy, and despite advances in unders...
Liquid biopsy holds immense potential for the early detection of cancer, yet its clinical utility is...
BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) exhibits marked molecular heterogeneity an...
Bladder cancer (BC) exhibits profound molecular heterogeneity and a highly dynamic tumor microenviro...
Gene therapies that selectively eliminate tumor cells within a heterogenous population remain an elu...
Tumor senescence is a durable cell-cycle arrest triggered by oncogenic signalling, DNA damage and th...
BACKGROUND/AIMS: Risk prediction models (RPMs) based on histopathological analysis of oral epithelia...
Accurate assessment of human epidermal growth factor receptor 2 (HER2) expression is foundational fo...