With advancements in computing and modeling technologies, healthcare digital twins are emerging as a promising tool for enabling precision medicine. A digital twin is a virtual representation of a physical entity - in this case, an individual patient. By simulating the human body at a molecular level, digital twins have the potential to transform how diseases are diagnosed and treated.

What is a Healthcare Digital Twin?

A healthcare digital twin refers to a virtual model of a patient that is created using their individual biological, behavioral and medical data. This model aims to provide an interactive simulation of the unique human physiology and pathology. Healthcare digital twins are built using computational modeling and simulation techniques as well as data gathered from sources like electronic health records, genomics, wearable devices, imaging scans and other clinical tests. The digital representation can then be used to conduct in-silico experiments to improve clinical decision making.



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