🔒 Whose is your twin?
Imagine a scene from the near future. You go to the doctor with chest pain. Instead of immediately referring you for additional tests, the doctor runs a simulation on your “digital twin” — a virtual model of your body powered by data from medical records, imaging studies, laboratory results, genetic information and wearable devices.
After a few minutes, the system shows an elevated risk of a cardiovascular event in the coming years. The doctor recommends treatment and a lifestyle change. You leave the doctor’s office with a prescription and a question: who actually made this decision?
This is no longer pure science fiction. Natalia Trayanova’s team at Johns Hopkins University has been developing cardiac digital twins for years, used to simulate procedures and support ablation planning. In the literature, such models are described as tools for predicting disease progression and testing intervention options before applying them to a specific patient.
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