Zensei

Respiratory patients need a daily care in order to avoid their respiratory symptoms. For this reason doctors prescribe a symptoms journal for keeping track of their symptoms and medication without taking into account environment, habits and social factors. Finally, respiratory patients want to understand why are suffering respiratory symptoms, how they will feel tomorrow and help their doctors to take better decisions. We use deep phenotyping data along with machine learning, computational epidemiological and behavioral economics tactics to provide an actionable, proactive and preventive respiratory healthcare service. Key features Environmental factors (Pollution, pollens, viruses) Respiratory health diary Medication reminders Breathing exercises AI Computational epidemiological models at individual and population level Respiratory health report Medical teleconsultation Respiratory health supplements