AI Relapse Prediction

Relapse prediction involves identifying factors, patterns, and bio markers that may indicate an elevated risk of symptom relapse or exacerbation.

Medteryx’s early stage AI R&D focus and model development for relapse prediction is on developing proprietary approaches to analyse large data sets of relevant patient data such as

  • Demographic information
  • Treatment history
  • Recent patient clinical records
  • Self reported patient experience (PREMSs) and outcomes (PROMs) measures
  • Behavioural patterns
  • Physiological markers
  • Social media content and forum participation
  • Smart phone / wearable monitors data for mood, mobility, sleep, and activity levels

What we do

We apply our AI R&D know-how to develop tools that analyse relevant clinical & patient data sets to identify markers of relapse risk such as