“Bridging the Early Diagnosis and Treatment Gap of Brain Diseases via Smart, Connected,
Proactive and Evidence-based Technological Interventions”
ALAMEDA acknowledges that the care of patients with brain disorders is complex and manifestations of certain diseases could worsen over time and seriously impair the quality of life of patients and their caregivers. Through the use of Artificial Intelligence (AI) healthcare support systems, the project aims (i) to provide personalized rehabilitation treatment assessments for patients with Parkinson’s, Multiple Sclerosis and Stroke, (ii) to ensure that medical interventions are effective, and (iii) that situations likely to aggravate can be predicted. The success of such applications will provide clinicians with the opportunity to modify interventions based on personalized data recordings, that could include both pharmacological and non-pharmacological treatment options. ALAMEDA’s machine learning and AI methodology will ensure that the algorithms are interpretable and provide explanations for their outcomes. Moreover, ALAMEDA will launch a multi-side market information platform, the ALAMEDA Digital Health Innovation Hub, aimed to integrate and make the tools and open-source elements generated by the project available to developers, integrate third-party vendors, and promote the research findings, guidelines, and evaluation results to the broader audience and the relevant decision-makers.