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By combining standard, non-invasive sensors with AI and digital twin-modelling, we enable cost-effective, accessible and precise analysis of the cardiovascular system. Our technology can be used to identify and locate early signs of cardiovascular disease, or for simulating and evaluating the impact of interventions on the system in the form of e.g. drugs or invasive procedures.
Cognes is developing a scalable screening tool utilizing machine learning technology to identify digital biomarkers of dementia at an early stage, a smartphone-based solution to tackle today’s time-consuming and costly diagnostic process. There is great need for scalable, non-invasive and cost-effective digital solutions to stratify patient recruitments for clinical trials and accelerate disease-modifying drugs to get to the market.