Personalised predictive solutions for mental health
Intelligent approach to treatment and prevention through digital technology
With the development of machine learning and deep learning algorithms, the significance of the digital biomarkers in clinical research and healthcare is playing increasingly important role. Application of machine learning to a patinet’s data allows precise measurement of the symptoms and outcomes during the course of the treatment, recovery or to prevent a disease.
With personal health profiling (or digital phenotyping), the treatment can be further adjusted to fit an individual based on the measurable features and their unique combinations. Personalised and precise medicine is the basis of the value-based care models.
For individuals biomarker-based companion solutions provide insights into their health to help the users understand the changes in their health caused by ageing, disease or prolonged stress and support them in building healthier behavioural habits or finding the right treatment programs.
Wearable Data
Continuous biomarker data collection in a non-invasive way from your wearable devices and/or mobile phone
Predictive AI
Personalised deep learning model to predict the development of possible negative outcomes or asses the efficiency of recovery measures
Insight
Receive an overview of your mental resilience status, identify risk factors and take preventive actions early in order to keep high performance and stay healthy
Digital biomarkers for mental health and resilience
Neuromaze.ai conducts research and business consulting in the area of digital biomarkers and AI-driven diagnostic support focusing on mental health and psychological ageing. It designs solutions for early stage diagnostics of mental health diseases and develops smart prevention approaches. Neuromaze.ai is supported by Innosuisse (Swiss agency for the promotion of innovation) and collaborates with a number of Swiss companies and institutions.
