Digital Health Innovation Platform

A main focus of our platform is dedicated to clinical prediction models for prevention, diagnosis, therapy and aftercare, which are based on structured analyses and interpretations of various types of data. Among many others, these data include medical images, genetic information, laboratory evaluations, vital signs information from mobile apps or wearable devices. Through the individual assessment of a patient’s situation not only in direct comparison with existing, relevant and documented data but additionally with each patient’s own data collected over the course of his or her life, clinical statements become much more accurate, precise and personalized. This platform-based application is our so-called Digital Health Twin. We are thus replicating and building in the medium term what will successively be a holistic individual digital model or the Digital Patient (Digital Health Twin). The digital likeness of an individual patient updates itself with each new exam, comparing it both with relevant clinical data and with its own younger self.