Ambient ionization mass spectrometry was proved to be a powerful tool for oncological
surgery. Still, it remains a translational technique on the way from laboratory to clinic. Brain …

This article provides a comprehensive overview of the applications of methods of machine
learning (ML) and artificial intelligence (AI) in ambient ionization mass spectrometry (AIMS) …

Mass spectrometry fingerprinting combined with multidimensional data analysis has been
proposed in surgery to determine if a biopsy sample is a tumor. In the specific case of brain …

Alterations in cell metabolism, including changes in lipid composition occurring during
malignancy, are well characterized for various tumor types. However, a significant part of …

Background: Ambient ionisation mass spectrometry, in combination with machine learning
techniques, provides a promising tool for rapid intraoperative tumour tissue identification …

Ex-vivo molecular profiling has recently emerged as a promising method for intraoperative
tissue identification, especially in neurosurgery. The short-term storage of resected samples …

The automatic processing of high-dimensional mass spectrometry data is required for the
clinical implementation of ambient ionization molecular profiling methods. However …

Цель исследования–анализ накопленных данных о применении методов масс-
спектрометрии в диагностике, лечении и прогнозировании течения онкологических …

The use of ambient ionization mass spectrometry methods is one of the promising
approaches to the impovement of glial tumor resection completeness by using an additional …

Mutations in an essential metabolic enzyme, isocitrate dehydrogenase (IDH), were found in
many cancers. The impact of IDH1 and IDH2 proteoforms mutations can vary and depend on …