Latest AI and machine learning research in other cancers for healthcare professionals.
Radiation necrosis (RN) remains a challenging complication of upfront radiation therapy for both bra...
Monoclonal gammopathies span a continuum from monoclonal gammopathy of undetermined significance (MG...
BACKGROUND: Uncertainty around a patient's prognosis at the end of life remains a major barrier to t...
OBJECTIVES: To construct a multimodal model integrating computed tomography (CT) imaging, radiothera...
Early prediction of malignant pleural effusion (MPE) recurrence within 3 months is essential for opt...
Minimal/measurable residual disease detection is routinely performed as part of post-diagnostic trea...
Biochemical recurrence (BCR) is a critical factor affecting the prognosis of prostate cancer (PCa) p...
BACKGROUND: Early detection of hepatocellular carcinoma (HCC) remains a significant clinical challen...
PURPOSE: Germline pathogenic variants (GPV) are frequently identified as secondary findings in cance...
Immune checkpoint inhibitors and anti-angiogenic targeted therapies have improved outcomes in hepato...
PURPOSE: Selective Internal Radiotherapy (SIRT) is an established treatment option for hepatocellula...
Immune checkpoint blockade, particularly programmed cell death protein 1 inhibition, has redefined t...
OBJECTIVE: Breast cancer is the most common malignancy in women and is characterized by a high recur...
BACKGROUND: The 2025 American Thyroid Association guidelines recommend total thyroidectomy for all T...
Recent advances in veterinary diagnostic oncology have significantly improved neoplasia detection in...
Chimeric antigen receptor natural killer (CAR-NK) cell therapy is an emerging cancer treatment offer...
Artificial intelligence (AI) has become an increasingly valuable tool in gastrointestinal endoscopy,...
UNLABELLED: Genetically engineered mouse models (GEMM) of cancer are useful for exploring the develo...
UNLABELLED: Single-cell RNA sequencing facilitates the discovery of gene expression signatures that ...
Transcriptomic classification methods have been proposed for ovarian clear cell carcinoma. However, ...
OBJECTIVES: To evaluate intratumoral subregional and peritumoral radiomics for predicting pathologic...