Join the webinar on how EU projects are leading artificial intelligence technologies to serve patient needs and improve brain health


The future environment we live in will be largely determined by how we approach artificial intelligence (AI) to improve the health and longevity of citizens. In this context, people and healthcare stakeholders should be able to profit from AI benefits while feeling secure and protected in order to provide better care and cure to patients living with chronic health conditions. Within this regard, the AI4Brain Community of Interest (CoI) Webinar Series initiated by the H2020 funded projects LETHE and ALAMEDA, will bring together leading research and innovation initiatives, digital health experts, patient representatives and policymakers to exchange best practices and steer collective reflection over what is next for the European Union when it comes to AI applications in personalised brain health.

The 1st Webinar arranged in this frame gathers leading AI practitioners and clinicians for an experience-sharing debate around the challenges and the most promising tools in digital brain health. The Webinar specifically focuses on the latest AI applications to improve the understanding of the course of neurodegenerative diseases, such as Alzheimer, Parkinson’s Diseases and MS. Neurodegenerative disorders are a type of neurological illness that causes gradual loss of neuronal structures and functions, thus manifesting with hard to detect early onset signs and a progressive clinical course, resulting in profound functional impairments and a burdensome impact on quality of life and wellbeing.

The clinical symptoms of neurodegenerative diseases are complicated and differ substantially across individual patients in terms of type, severity, and frequency. Faced with such a large inter-individual variability, it is a major challenge for clinicians to make an accurate and timely diagnosis, prognosis, and management plan for a given patient. The Webinar will take place online on the 3rd of March, 13:00 – 14:30 CET. 

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