Research Thesis

  • Autoimmune disease exacerbations are currently detected either too late or are subject to enormous diagnostic expenses (such as MRI in MS).
  • Every autoimmune disease involves inflammatory processes that correlate with changes in body core temperature.
  • These inflammatory processes might be reflected in individual temperature patterns.
  • We will likely be able to identify the temperature pattern and predict relapses more effectively.
  • This allows treatment to be tailored to individual exacerbations and the respective clinical course of the autoimmune disease.

Medical Need

  • Diagnostic methods for early exacerbation detection to enable tailored treatment to individual clinical course.

Solution

  • A digital diagnostic platform using intelligent medical algorithms for identifying and analyzing core temperature and exacerbation patterns.
  • The platform combines sensor-based wearables for continuous biological data measurement with high-resolution software for medical evaluation.
  • The platform’s integrated patient journal according to autoimmune disease guidelines allows remote patient monitoring with real-time alerts against an imminent exacerbation.
  • This also allows rapid response to alerts with a change in treatment.