Latest AI and machine learning research in other cancers for healthcare professionals.
OBJECTIVE: To explore the value of combined radiomics and deep learning models using different machi...
BACKGROUND AND PURPOSE: Distant metastasis in bladder cancer is linked to poor prognosis and signifi...
BACKGROUND: Centrosome amplification (CA) has been shown to be capable of initiating tumorigenesis w...
BACKGROUND: Multiple endocrine neoplasia type 1 (MEN1) is a rare autosomal dominant disorder, accomp...
Surgical and neuropathologists continuously search for new and disease-specific features, such as in...
 The aim of this study was to explore an innovative approach for developing deep learning (DL) algo...
Normal cell development and prevention of tumor formation rely on the tumor-suppressor protein p53. ...
BACKGROUND: The heterogeneity of cancer makes it challenging to predict its response to immunotherap...
Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma in children, representing approximatel...
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...
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...