Digital twin is a virtual model designed to accurately reflect the overall biological condition of the individual. The individual being tested is monitored with various wearable sensors related to vital areas of functionality. These sensors produce realtime data about different aspects of bio-signals, and then relayed to the model.

Once informed with such data, the AI-based intra-individual and inter-individual models can be used to run analysis, perform risk stratification and generate individualized diagnostics, all with the goal of generating valuable out-patients’ insights- which can then be offered to physicians for more precise individuation of diagnosis and treatment.