Recent advancements in genomic diagnostics for central nervous system (CNS) tumors have shown promising results, particularly through the use of nanopore-based random genomic sampling. A study involving a retrospective cohort of 26 malignant brain tumors demonstrated that the iSCORED system achieved 100% concordance in detecting copy number variations (CNVs), including chromosomal alterations and oncogene amplifications, when compared to established methods such as Next-Generation Sequencing (NGS) and Chromosomal Microarray. This high level of concordance underscores the potential of iSCORED as a reliable tool for intraoperative molecular diagnosis, particularly in challenging cases where traditional methods may fall short (ref: Emiliani doi.org/10.1186/s13073-025-01427-7/). Furthermore, the validation of iSCORED's real-time applicability in 15 diagnostically challenging primary brain tumors further solidifies its utility, achieving similar concordance rates in detecting aberrant CNVs, which included significant diagnostic chromosomal gains and losses. These findings suggest that integrating such genomic tools into clinical practice could enhance diagnostic accuracy and inform treatment strategies for patients with CNS tumors.