The AROMA project intends to generate artificial intelligence models and algorithms that will be employed for the prediction, prevention, and personalized intervention of frailty and multimorbidity-associated risks. AROMA is a subproject of the project MIRATAR (TED2021-132149B-C4), coordinated by Universidad Castilla-La Mancha.

GSI research in the project is mainly focused on two research lines:

• ML models for frailty prediction
• Deep Case-based reasoning (CBR) for designing personalized interventions and recommending healthy habits.

The consortium is formed by:

1. Universidad de Castilla – La Mancha (UCLM). Subproject: CyberpHysicAl Systems for the care Economy (CHASE)
2. Universidad Politécnica de Madrid (UPM). Subproject: Artificial Intelligence Models for Predicting Physical and Mental Frailty in Elderly at Home (AROMA)
3. Centro de Investigación Biomédica en Red (CIBER). Subproject: Validation of an Intelligent avatar for frailty and Multimorbidity ManAGEment in older adults (IMMAGE)
4. Universidad Carlos III de Madrid (UC3M). Subproject: Societal and organisational challenges towards Care Economy (CARE)

Project MIRATAR / AROMA - TED2021-132149B-C42 funded by MCIN/ AEI /10.13039/501100011033