Artificial intelligence driven, MAGNA integrates deep learning algorithms to improve quality of care and support treatment strategy.
Based on self-management applications (e.g. monitoring and visualization of disease activity and treatment) with patient adapted user experience (UX).
Accordance and compliance with official (EULAR/ACR) treatment guidelines.
Current user interfaces for MAGNA are:
GAMBA (Gout management and biomarker application)
OAMBA (Osteoarthritis management and biomarker application)
RAMBA (Rheumatoid arthritis management and biomarker application)
FIMBA (Fibromyalgia management and biomarker application)
SLEMBA (Systemic lupus erythematosus management and biomarker application)
SJÖMBA (Sjögren´s syndrome management and biomarker application)
Artificial intelligence applications:
PREDICTRA a deep learning algorithm to forecast disease activity in rheumatoid arthritis. Treat to predicted target (T2PT) is a novel treatment strategy, potentially more rapid and efficient than current treat to target (T2T) therapies.
DETECTRA an algorithm based on neural networks to detect monitor synovitis on hand photographs.
AdaptiveNET a novel deep learning architecture for clinical data analysis.
