Relapse prediction involves identifying factors, patterns, and bio markers that may indicate an elevated risk of symptom relapse or exacerbation.
Medteryx’s advanced AI tools for relapse prediction analyse large data sets of relevant patient data such as
- Demographic information
- Treatment history
- Recent patient records
- Self reported patient experience and outcomes measures
- Behavioural patterns
- Physiological markers
- Online forum content
- Smart phone and wearable monitors for communication, mobility, sleep, and activity levels
What we do
We use advanced AI tools and relevant clinical & patient data sets to identify markers of relapse risk such as
- Mood changes
- Social isolation
- Increased negative affect
- Mental health new models of care
