Bringing Artificial Intelligence home for a better care of amyotrophic lateral sclerosis and multiple sclerosis

The system developed in BRAINTEASER will provide quantitative evidence of benefits and effectiveness of using AI in health-care pathways, implementing a proof-of-concept of their use in real clinical setting. Outcomes from the project will also provide a coherent and integrated set of recommendations for public health authorities. BRAINTEASER will support the transition of current healthcare approaches from reactive to predictive, paving the path for patients toward a healthier and more fulfilling life as long as possible.

BRAINTEASER main goals can be summarized as follows:

• To investigate and model ALS and MS progression for patients, who demand to plan their future and being assisted in their daily needs, and for clinicians, who need to deepen disease understanding to personalise patients’ treatment and prevent adverse events and fast disease progression,
• To enforce the advantage of using AI models to augment current clinical approaches by introducing innovative descriptors of clinical outcomes, integrating and managing multidimensional datasets, stratifying patients and characterizing the disease evolution to design personalized health and care pathways,
• To enforce the use of AI models in hospital, home-care and in research, adopting an open science paradigm that makes scientific research results accessible to all levels of society, at the same time respecting the privacy and patients’ data ownership, and actively involving end users in the technological solution co-design, implementation and commercialization to make sure the project’s results will soundly respond to real needs.