An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic material from cerebrospinal fluid (CSF) and monitor the progression of the disease. In future, the method could enable earlier diagnosis before surgery, reduce invasive procedures and improve the monitoring of treatment success. The results have recently been published in the leading journal Nature Cancer.
In the recently published study, the researchers present the AI tool “M-PACT” (Methylation-based Predictive Algorithm for CNS Tumors). The algorithm analyzes cell-free DNA from cerebrospinal fluid samples. These are tiny fragments of genetic material that are released into the cerebrospinal fluid by…