New paradigms for diagnosis of CNS tumors, sarcomas, and kidney tumors utilizing AI-driven DNA methylations classifiers

Applications using AI data-driven DNA methylation classifiers vastly improve accuracy in solid tumor classifications, especially for brain, sarcomas, salivary gland and kidney tumors.

DNA methylation is becoming an indispensable part of solid tumor diagnostics. Epigenetic signatures analyzed using AI and machine learning algorithms provide molecular diagnostic tools which overcome routine pathology inaccuracies. Precise molecular diagnosis and prognostic subclassification guides clinical decision from early in the workup process by decreasing diagnostic uncertainty and errors. Dr. Matija Snuderl and Dr. Kyung Park of NYU Langone Medical Center share their work developing and implementing DNA methylation-based classification of tumors and integration with other molecular tests.

Matija Snuderl, MD
Professor, Department of Pathology; Director Molecular Pathology
NYU Langone Health

Kyung Park, MD
Clinical Associate Professor
NYU Grossman School of Medicine