Metabolomics combined with machine learning methods (MLMs), is a powerful tool for
searching novel diagnostic panels. This study was intended to use targeted plasma …

Simple Summary The most prevalent and lethal primary brain tumor, glioblastoma
multiforme (GBM), exhibits fast growth and widespread invasion and has a poor prognosis …

Glioblastoma (GBM) is a common and deadly brain tumor with late diagnoses and poor
prognoses. Machine learning (ML) is an emerging tool that can create highly accurate …

The long-term treatment of malignancies, particularly brain tumors, is challenged by
abnormal protein expression and drug resistance. In terms of potency, selectivity, and …

Abstract Gliomas, particularly glioblastomas (GBMs), pose significant challenges due to their
aggressiveness and poor prognosis. Early detection through biomarkers is critical for …

To fully explore the potential of 18F-labeled l-fluoroalanine for imaging cancer and other
chronic diseases, a simple and mild radiosynthesis method has been established to …

We introduce a novel approach for comprehensive molecular profiling in biological samples.
Our single-section methodology combines quantitative mass spectrometry imaging (Q-MSI) …

Motivation Online assessment of tumor characteristics during surgery is important and has
the potential to establish an intra-operative surgeon feedback mechanism. With the …

Diagnosing and classifying central nervous system tumors such as gliomas or glioblastomas
pose a significant challenge due to their aggressive and infiltrative nature. However, recent …

Motivation Identification and removal of micro-scale residual tumor tissue during brain tumor
surgery are key for survival in glioma patients. For this goal, High-Resolution Magic Angle …