Despite substantial advances in cancer treatment, for patients with glioblastoma prognosis
remains bleak. The emerging field of cancer neuroscience reveals intricate functional …

Glioblastoma Multiforme (GBM), classified as a grade IV glioma by the World Health
Organization (WHO), is a prevalent and notably aggressive form of brain tumor derived from …

Glioblastoma (GBM) is a highly malignant and devastating brain cancer characterized by its
ability to rapidly and aggressively grow, infiltrating brain tissue, with nearly universal …

In this study, we developed a new prognostic model for glioblastoma (GBM) based on an
integrated machine learning algorithm. We used univariate Cox regression analysis to …

Background Glioblastoma (GBM) remains associated with a dismal prognoses despite
standard therapies. While population-level survival statistics are established, generating …

Background: The aim of this review is to highlight the new advance of predictive and
explainable artificial intelligence for neuroimaging applications. Methods: Data came from …

The support vector machine algorithm with a quantum kernel estimator (QSVM-Kernel), as a
leading example of a quantum machine learning technique, has undergone significant …

Glioblastoma multiforme (GBM) is a very aggressive and lethal primary brain cancer in
adults. The multifaceted nature of GBM pathogenesis, rising from complex interactions …

Glioblastoma is the most commonly occurring malignant brain tumor, with a high mortality
rate despite current treatments. Its classification has evolved over the years to include not …

Malignant gliomas, including glioblastoma, are amongst the most aggressive primary brain
tumours, characterised by rapid progression and a poor prognosis. Survival analysis is an …