There is an urgent need for novel approaches assessing functional decline in early AD. The main goal of the RADAR-AD project is to develop a digital platform to detect subtle functional deficits in early Alzheimer’s disease (AD) individuals by integrating a meaningful combination of smartphone, wearable and/or home sensor based parameters. The system developed will be suitable for future longitudinal studies, including trials. The objectives are to 1) Identify the most relevant functional domains and the most promising remote measurement tools (RMTs) for these domains based on reviewing the literature and piloting of RMTs in small studies; 2) Optimise the RADAR-CNS platform for use in AD studies; 3) Test the platform and selected RMTs in a real world environment clinical study with 240 participants across the AD spectrum ranging from the preclinical AD to the dementia stage; 4) Perform statistical modelling to estimate longitudinal predictions; 5) Discuss results with regulatory agencies in order to obtain guidance about how to develop a path for formal qualification as outcome measurements in future therapeutic interventions. Considering the limited budget and project duration, we will rely upon already available technology platforms and on available longitudinal datasets where possible. The consortium includes experts in clinical dementia studies, computer science, bioinformatics, regulatory policies, ethics, and patient and public involvement (PPI). Additional strengths of the consortium are the deep and broad interface with RADAR-CNS and related IMI projects, and the access to large amount of patient-level data from key European cohort studies for modelling purposes.