Diagnostic tool enables rapid leukemia subtype classification

Researchers at Dana-Farber Cancer Institute have developed a diagnostic tool that could transform the way acute leukemia is identified and treated. The tool, called MARLIN (Methylation- and AI-guided Rapid Leukemia Subtype Inference), uses DNA methylation patterns and machine learning to classify acute leukemia with speed and accuracy. This tool has the potential to significantly improve patient care by allowing faster and more precise treatment decisions.

This article was originally published on MedicalXpress.com

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