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The medical center is at the forefront of integrating artificial intelligence with hematology to enhance patient outcomes. The ongoing research focuses on understanding and predicting hydroxyurea resistance in patients with polycythemia vera, a rare blood disorder characterized by an overproduction of red blood cells.

• Hydroxyurea Resistance Prediction
• Machine Learning in Hematology
• Polycythemia Vera Management

By leveraging advanced machine learning techniques, the center aims to identify predictive risk factors for treatment resistance, thereby personalizing therapeutic strategies and improving the quality of life for patients.