BRAINTEASER Architecture for Integration of AI Models and Interactive Tools for Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) Progression Prediction and Management

Abstract The presented platform architecture and deployed implementation in real-life clinical home care settings on four Amyotrophic Lateral Sclerosis (ALS) Multiple (MS) study sites, integrates the novel working tools for improved disease management with initial releases of AI models monitoring. described robust industry-standard scalable is to be a referent example integration approach based loose coupling APIs industry open standard human-readable language-independent interface specifications, its successful baseline further upcoming additional more advanced supporting pipelines (such as ALS MS progression prediction, patient stratification, ambiental exposure modelling) following development.