By durapid
A digital twin is a virtual replica of a real-world object such as a patient, hospital, or medical device, updated with real data.
They use AI, sensors, wearables, and medical records to simulate real behavior and predict future outcomes.
Doctors can test treatments on a patient’s twin before real-world application, optimizing care and reducing side effects.
Digital twins track health in real time, spotting risks early and supporting care from home.
Drug developers simulate responses before human trials, speeding development and saving costs.
Hospitals can use digital twins to optimize layouts, manage workflows, and reduce wait times.
Engineers test devices virtually, prototyping faster and reducing physical testing needs.
Keeping elderly patients safer with continuous monitoring and early health alerts.