Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND: Timely palliative care (PC) consultations offer demonstrable benefits for patients with ...
BACKGROUND AND OBJECTIVE: Owing to the expansion of treatment options for metastatic hormone-sensiti...
PURPOSE: This study aimed to develop and evaluate a machine learning model combining clinical, radio...
The subjectivity of morphological assessment and the overlapping pathological features of different ...
Squamous cell carcinoma is a prevalent cancer type that affects various organs in the human body. Ma...
Sinonasal squamous cell carcinoma (SNSCC) is a rare tumor with a high 5-year mortality rate. However...
Head and neck squamous carcinoma (HNSC), characterized by a high degree of malignancy, develops in c...
Brain tumors are a significant health risk threatening humanity, and they seem to be unique challeng...
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...
Pathological examination of nasopharyngeal carcinoma (NPC) is an indispensable factor for diagnosis,...
Sleep staging is essential for sleep assessment and plays an important role in disease diagnosis, wh...
By modeling the temporal dependencies of sleep sequence, advanced automatic sleep staging algorithms...
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...
To demonstrate the efficacy of machine learning models in predicting mortality in melanoma cancer, w...