Latest AI and machine learning research in other cancers for healthcare professionals.
Gastric cancer (GC) is a prevalent malignancy with high mortality rates. Immunogenic cell death (ICD...
The emergence of immunotherapy (IO), and more recently intratumoral IO presents a novel approach to ...
The detection and tracking of metastatic cancer over the lifetime of a patient remains a major chall...
BACKGROUND: Immunotherapy has revolutionized skin cutaneous melanoma treatment, but response variabi...
AIM: To investigate oscillatory networks in bipolar depression, effects of a home-based tDCS treatme...
BACKGROUND: This study aims to establish a predictive model for assessing the risk of esophageal can...
BACKGROUND: Predicting mortality and relapse in children with acute lymphoblastic leukemia (ALL) is ...
BACKGROUND: The population diagnosed with renal cell carcinoma, especially in Asia, represents 36.6%...
INTRODUCTION: Endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA) for lung cancer ...
Cancer stem cells (CSCs) have the potential to self-renew and induce cancer, which may contribute to...
The purpose of this study was to evaluate the impact of probability map threshold on pleural mesothe...
How to develop contrast agents for cancer theranostics is a meaningful and challenging endeavor, and...
. Approximately 57% of non-small cell lung cancer (NSCLC) patients face a 20% risk of brain metastas...
Renal cell carcinoma (RCC) is the sixth most common cancer in men and is often asymptomatic, leading...
RATIONALE AND OBJECTIVES: Isocitrate dehydrogenase 1 (IDH1) is a potential therapeutic target across...
Soft tissue sarcomas (STS) are a heterogeneous group of rare malignant tumors. Tumor grade might be ...
This narrative review examines the promising potential of integrating artificial intelligence (AI) w...
BACKGROUND: Artificial intelligence (AI)-based tools have shown promise in histopathology image anal...
BACKGROUND: The post-surgical prognosis for Pulmonary Large Cell Neuroendocrine Carcinoma (PLCNEC) p...
BACKGROUND AND PURPOSE: Feature variability in radiomics studies due to technical and magnet strengt...
Dysregulated super-enhancer (SE) results in aberrant transcription that drives cancer initiation and...