Latest AI and machine learning research in other cancers for healthcare professionals.
This study evaluates the ability of generative artificial intelligence (AI) models to standardize tu...
Small cell lung cancer (SCLC) is a highly aggressive tumor with poor prognosis. Ferroptosis is close...
Cell migration underlies immune surveillance, tissue repair, embryogenesis, and-when dysregulated-tu...
Heterogeneity in cancer gene expression is typically linked to genetic and epigenetic alterations, y...
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality globally, and accurate...
Various harmonization methods have been employed for obtaining MRI from different scanners. However,...
Ovarian cancer (OC) ranks among the most aggressive malignancies of the female reproductive system. ...
This study presents an integrated methodology for pre-operative cryosurgical planning of irregularly...
Ocular tumors encompass ocular surface tumors, orbital tumors, and intraocular tumors, characterized...
Drug resistance is a major challenge in cancer and infectious diseases, requiring innovative solutio...
STUDY OBJECTIVES: Sleep staging is usually performed by manual scoring of polysomnography (PSG), whi...
BRAF inhibitors (BRAFi) have transformed the treatment of BRAF mutant melanoma, but inherent and acq...
This article examines global thyroid cancer（TC） incidence trends, with emphasis on epidemiological p...
Selective inhibition of hexokinase 2 (HK2) represents a promising therapeutic strategy due to the pi...
Clear cell renal cell carcinoma (ccRCC) is characterized by high metastatic potential and frequent r...
Isocitrate dehydrogenase (IDH) enzymes have recently emerged as a highly promising target for therap...
The tumor microenvironment (TME) comprises diverse cellular components that spatially interact to fo...
Lung cancer is a leading cause of cancer-related mortality worldwide, and its early and accurate det...
BACKGROUND: Glioma was the most common malignant tumor of the central nervous system in adults. Low-...
OBJECTIVES: This study aimed to develop and validate machine learning (ML) models to predict surviva...
BACKGROUND: Deep neural networks (DNNs) are promising for analyzing high-dimensional transcriptomic ...