"Get introduced to your Patients"
We are using AI and machine learning to understand Physical Data and link it to clinical outcomes and drug effectiveness.
We use Real life lifestyle Data into research
AI algorithms are used to create patient behavioural phenotypes
Collecting feedback scores from Quality of Life (QoL) and Treatment-related symptoms
Fusing activity and vital signs with feedback scoring
Driving decisions, providing useful insights for clinical endpoints
Building Behavioural Phenotypes
Μulti-dimensional vectors create a visual patient phenotype model with characteristic behavioral habits
Pattern recognition algorithms cluster patients of similar phenotypes that can be then addressed by the system/investigator in a similar way.
Any deviation from the model is enumerated and monitored