Precise pathological diagnosis is crucial for proper management of patients suffering from cancer. There are approximately 100 known tumor types of the central nervous system. Due to Large number of tumor type standardization of the diagnostic process is very challenging. Researchers are now working on a completely different approach which is DNA methylation-based classification of CNS tumors across all entities and age groups. They have shown its application in a routine diagnostic setting. Results have shown that the availability of this method may have a significant impact on diagnostic precision compared to currently available methods, resulting in a change of diagnosis in up to 12% of prospective cases. To increase the accessibility, Researchers have designed a free online classifier tool, no additional onsite data processing is required to use the tool. Results have provided a blueprint for the generation of machine learning based tumor classifiers across other cancer types.
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