ALAMEDA: "Bridging the Early Diagnosis and Treatment Gap of Brain Diseases via Smart, Connected, Proactive and Evidence-based Technological Interventions" (n.101017558)

Description:

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 care-givers. Regular rehabilitation treatment assessments are essential to ensure that medical interventions are impactful or that relapse incidents are not evident. Different brain diseases pose different challenges on the clinicians and the interventions they prescribe. Patients respond differently to similar medication or rehabilitation protocols. Our vision in ALAMEDA is to research and prototype the next generation of personalized AI healthcare support systems for people with brain diseases and disorders, specifically focusing on the needs of Parkinson’s, MS and Stroke (PMSS) patients’ rehabilitation treatments. ALAMEDA innovations are anchored at the integration of lifestyle retrospective data as well as new streams of patient monitoring data, via new methods during every-day activities, including sleep behaviour, deploying advanced data analytics and AI recommendation services. 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 therapeutic options, such as exercise regimens.

Keywords: Parkinson, Multiple Sklerosis, Stroke, Brain diagnostics.

Notice: This project is currently under development. Publication of all the material and results related to this work is limited due to IPR limitations, until the last stages of the project. Any material that is accessible here is granted under the terms of the copyright notice included in this page.

All the documents and related material by Harris Georgiou are licensed, in parts and as a whole, under a Creative Commons Attribution-Non-Commercial-Share Alike 3.0 Unported License. All the code sources and related material by Harris Georgiou are licensed, in parts and as a whole, under a EU Public License.