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A research team from Hong Kong University of Science and Technology has developed a virtual patient simulation system based on artificial intelligence, aimed at improving the treatment of cancer and serious illnesses. The system integrates multi-modal data such as genetic information, medical imaging, and clinical records to create a continuously updated "digital twin" model. This model helps predict the effectiveness of various treatment options and monitor changes in the patient's condition in real time. Additionally, the system supports diagnostic and therapeutic decision-making, particularly in cancer treatment, by enhancing personalization, managing complex medical procedures, and reducing high costs. This advancement promotes the applications of precision medicine.
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