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The model may help clinicians identify patients who would benefit from disease-specific therapies or enrollment into clinical trials.
A machine learning, artificial intelligence algorithm analyzing diagnostic bone marrow biopsy digital whole-slide images was able to effectively differentiate with 92.3% accuracy between prefibrotic primary myelofibrosis and essential thrombocythemia.