Design of a Machine Learning (ML) system that monitors biometric signals of patients with chronical diseases, to detect medical crisis in an early stage while increasing their autonomy. The system is composed by a smart garment that collects the biomedical data and provides feedback, connected with a 3D virtual agent app that interacts with the patient and applies gamification strategies to revert risky situations. A report service for clinicians completes the system.