Latest AI and machine learning research in other cancers for healthcare professionals.
INTRODUCTION: Necroptosis has emerged as a promising biomarker for predicting immunotherapy response...
RATIONALE AND OBJECTIVES: This study aimed to develop a radiomics model characterized by Ga-fibrobla...
Cancer immunotherapy hinges on accurate epitope prediction for advancing vaccine development. VaxOpt...
BACKGROUND AND OBJECTIVE: Diagnosis of pathology in the mediastinum has proven quite challenging, gi...
PURPOSE: To develop and validate a prognostic and predictive model integrating deep learning MRI fea...
Lymph node metastasis in intrahepatic cholangiocarcinoma significantly impacts overall survival, emp...
BACKGROUND: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, of...
By modeling the temporal dependencies of sleep sequence, advanced automatic sleep staging algorithms...
Sleep staging is essential for sleep assessment and plays an important role in disease diagnosis, wh...
Pathological examination of nasopharyngeal carcinoma (NPC) is an indispensable factor for diagnosis,...
OBJECTIVES: Some sarcomas are highly malignant, associated with high recurrence despite treatment. T...
RATIONALE AND OBJECTIVES: To develop interpretable machine learning models that utilize deep learnin...
Gliomas are the most common and malignant form of primary brain tumors. Accurate segmentation and me...
BACKGROUND: A growing body of research is using deep learning to explore the relationship between tr...
To demonstrate the efficacy of machine learning models in predicting mortality in melanoma cancer, w...
Although recent advancements have shed light on the crucial role of coordinated evolution among cell...
Multi-omics approaches are revolutionizing cancer research and treatment by integrating single-modal...
Hepatocellular carcinoma (HCC) is one of the most common malignancies. The currently available clini...
BACKGROUND: Ex vivo confocal laser scanning microscopy (EVCM) is an emerging imaging modality that e...
BACKGROUND: Deep learning has been used to classify basal cell carcinoma (BCC) on histopathologic im...
PURPOSE: To develop a machine learning algorithm to improve hepatic resection selection for patients...