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Unlocking the Future: Can AI Predict Dementia Risk? Join AI-Mind's Groundbreaking Session at #33AEC!

Join us at the 33rd Alzheimer Europe Conference (#33AEC) in Helsinki from 16 to 18 October 2023, themed “New opportunities in dementia care, policy, and research”. This collaborative event between Alzheimer Europe and Muistiliitto (Alzheimer Society of Finland) showcases progress in treatments and diagnostics. This inclusive conference offers networking for experts across Europe and beyond, with both in-person and remote participation options available. Don’t miss the chance to be part of these vital discussions shaping the future of dementia care.

As part of the activities under Work Package 7, focused on “Communication, Dissemination, and Exploitation” and led by accelopment, the AI-Mind project is proud to announce our dedicated session on “The potential of artificial intelligence for dementia risk prediction” on the conference’s second day, October 17th, from 14:00 to 15:15 local time. Chaired by the project coordinator, Dr. Ira Haraldsen from Oslo University Hospital (OUS), this session promises insightful presentations:

  • Dr. Ira Haraldsen: Unveiling AI-Mind – A Groundbreaking Approach to Identifying Mild Cognitive Impairment and Pioneering Therapeutic Avenues.
  • Dr. Ainar Drews: Illuminating Opportunities in Dementia Research and Diagnosis Through Artificial Intelligence.
  • Robin Vermeulen: Assessing the Profound Value of a Dementia Risk Estimation Tool for Individuals Grappling with Mild Cognitive Impairment: an Early Health Technology Assessment.
  • Eugenio di Bido: Perceiving Artificial Intelligence: Insights into Patient Perspectives.
Dr. Ira Hebold Haraldsen, the AI-Mind project coordinator, is a translational researcher focusing on the neuroendocrine control of brain development and cognitive functions in different species. Her investigative approach is collaborative and interdisciplinary, spanning the fields of human neuroendocrinology and neuropsychology, molecular biology, and PET tracer development. Her clinical practice covers the broad spectrum of neurology, psychiatry and neuroendocrinology, including all classical neuropsychiatric disorders. She is an expert on clinical neurobiology.
Dr. Ira Haraldsen
Dr. Ira HaraldsenAI-Mind coordinator and the lead WP1 & WP8
Dr. Ainar Drews has a background in astrophysics, obtaining his doctorate from the Institute of Theoretical Astrophysics, University of Oslo. Through his research, he gained experience in informatics and machine learning as he worked on the automatic identification of objects in highly complex observations of the sun. His broad expertise in astrophysics, mathematics and informatics from his academic background serves him well in his current position as a senior engineer at the Department of Informatics at the University of Oslo in the division for research, dissemination and education. Dr. Drews is the technical coordination manager of the AI-Mind consortium, managing the inter-disciplinary coordination of clinicians, developers and AI researchers. The project aims to develop artificial intelligence tools to study and reliably predict the progression to dementia in people diagnosed with mild cognitive impairment.
Profile picture Ainar Drews
Dr. Ainar DrewsAI-Mind technical coordination manager (WP3 & WP4)
Robin Vermeulen has a background in Biomedical Sciences, specifically in the field of (early) Health Technology Assessment. Currently, she is a PhD candidate at the Radboud University Medical Center. She has an interest in the medical benefits as well as the clinical applicability of developments in healthcare. With her research Robin aims to study the potential added value of healthcare innovations in the early stages of development, to be able to inform about the potential cost-effectiveness of these innovations and to help steer the development into most (cost-)effective solutions. During her PhD, Robin's focus lies on the early Health Technology Assessment of the AI-Mind Connector and Predictor.
Robin Vermeulen
Robin Vermeulen PhD candidate working on HTA (WP6) in AI-Mind
Eugenio Di Brino, a health economist at Università Cattolica del Sacro Cuore, specialised in pharmacoeconomics, health technology assessment (HTA), and patient involvement. From 2017 to 2019, he was a research collaborator at the National Center for HTA of the Istituto Superiore di Sanità, where he conducted in-depth studies on health care economic management issues. With extensive academic and research experience since 2015, Di Brino also coordinates master's programs and the Patient Advocacy Lab at ALTEMS. He also holds key positions in various health organizations and contributes to European projects. Additionally, Di Brinio lectures at several universities and has notable publications. Since 2021, he co-founded Altems Advisory, a spin-off of Università Cattolica del Sacro Cuore.
Eugenio Di Brino
Eugenio Di BrinoExpert in HTA supporting AI-Mind WP6
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For more information an interactive preview, please visit our dedicated event page at https://www.ai-mind.eu/event/ai-mind-session-at-alzheimer-europe-conference/

Furthermore, AI-Mind is set to make a significant mark with a range of conference contributions, including oral presentation on 18 October, two quick-oral presentations on 17 October and five scientific posters, showcased on the last day of the conference, Wednesday 18 in the Valo-Säde-Kajo room. We invite you to visit AI-Mind partners there, but you can learn more about their work already visiting the event page under this link: https://www.ai-mind.eu/event/33rd-alzheimer-europe-conference

 

Rabindra Khadka is a PhD research fellow at Oslomet University, Oslo, Norway with a deep passion for Artificial Intelligence (AI), computers, and Maths. His work focuses on developing AI models to detect biomarkers in EEG signals related to dementia. Beyond his research work, he is actively involved in teaching and supervision of students at the Oslomet University. His pursuit of knowledge exploration and learning remains the driving force behind his efforts to transform his findings into real-world solutions that can benefit society at large. His interests include nature, numbers, energy and time.
Rabindra Khadka
Rabindra KhadkaPhD candidate working on AI modelling(WP3)
Pietro Refolo has a Degree in Philosophy and a PhD in Bioethics. Currently, he is an Associate Professor at the Department of Healthcare Surveillance and Bioethics of the Università Cattolica del Sacro Cuore of Rome, and a Professor at the International Medical University in Rome Unicamillus. He is the coordinator of the Editorial Staff of the Journal “Medicina e Morale. Rivista Internazionale di Bioetica” and a member of two Institutional Review Boards. His main research interests are Bioethics, History of Medicine, Medical Anthropology, and Health Technology Assessment (HTA). He collaborated on several national and European research projects over the last ten years. He is the author of a large number of scientific articles and two monographs.
Dr. Pietro Refolo
Dr. Pietro RefoloHTA expert involved in WP6
Ana Perez is a Clinical Neuropsychologist and a PhD researcher fellow at Oslo University Hospital, Norway. She has wide clinical experience, and her research field is Neuropsychology of mild cognitive impairment in the era of Artificial intelligence.
Ana Perez
Ana PerezPhD candidate involved in the AI-Mind study (WP5)
Ramesh Upreti is a PhD research scientist in the Department of Neurology at Oslo University Hospital. Ramesh is currently working on two of the EU-funded projects, AI-Mind and eBRAIN-Health. In the development of AI-based diagnostic tools for rare diseases, such as dementia, the lack of data is one of the biggest barriers. His research focuses on methods for generating high-quality synthetic neurological signals (EEG) from diverse groups. His research not only improves the efficiency of AI-based diagnosis tools in the neurological field but also paves the way for building hybrid systems and digital twins for personalized treatment, which is the future of AI in healthcare.
Ramesh Upreti
Ramesh Upreti PhD candidate involved in AI-Mind feature extraction (WP2)
Mats Tveter has a background in nanoelectronics, robotics and deep learning, obtaining his master's degree from the Institute of Informatics, Robotics and Intelligent Systems, UiO. During his master's, he conducted research at the intersection of deep learning and neuroevolution. Currently, Mats is pursuing a PhD at the Faculty of Clinical Medicine, UiO, working in the department of neurology at Oslo University Hospital and EU-funded AI-Mind project. In his doctoral studies, Mats's primary focus revolves around the application of deep learning techniques to electroencephalography (EEG) data, with a particular emphasis on uncertainty quantification.
Mats Tveter (OUS)
Mats Tveter (OUS)PhD candidate involved in AI-Mind feature extraction (WP2)
Thomas Tveitstøl is a PhD candidate at Oslo University Hospital, focusing on research and development of deep learning techniques for studying electroencephalography data. He has a background from Physics and Mathematics with specialisation in biophysics and medical technology, and enjoys working in the cross-section of artificial intelligence and neuroscience. With his work, he wishes to contribute to the development of improved medical technology, and in the end, better healthcare solutions.
Thomas Tveitstøl (OUS)
Thomas Tveitstøl (OUS)PhD candidate involved in the AI-Mind study (WP5)
Claudia Carrarini is a neurologist and a PhD student at the Catholic University of Sacred Heart in Rome (Italy). She is mostly interested in cognitive disturbances and movement disorders, in which fields she has been doing research since 2015. Her expertise has mainly been focused on neuropsychological and neurophysiological correlates of neurodegenerative disorders, such as Alzheimer’s disease and Dementia with Lewy Bodies.
Claudia Carrarini (IRRCS)
Claudia Carrarini (IRRCS)PhD candidate involved in the AI-Mind study (WP5)
Mohamed Radwan is a PhD candidate at OsloMet in Norway. His background is a master's degree in Data Science from the Norwegian University of Life Sciences (NMBU) in Norway. Mohamed worked with several kinds of data including text, images, time series and graphs. The current research focus lies on Machine Learning and Deep Learning for EEG data and finding features that can be used for early detection of dementia. Mohamed is also interested in the explainability of the Deep Learning Model and how it is used to extract features from the data and make decisions.
Mohamed RadwanPhD candidate working on AI modelling (WP3)
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In a dual role, our project coordinator will moderate two pivotal sessions of special interest to the AI-Mind consortium and stakeholders. On Monday, 16 October, the “Detection and Diagnosis” will be steered by our coordinator, focusing on amplifying awareness about AI-Mind’s critical significance and encouraging sustained attention moving forward. Additionally, on Wednesday 18 October, from 12:00 to 13:00, the Eli Lilly Symposium session will feature a special introduction to AI-Mind by Dr. Ira Haraldsen. Known for its high attendance, this symposium accommodates up to 250 participants.

Moreover, AI-Mind extends a warm welcome to conference participants at our dedicated on-site booth. Here, visitors will have the opportunity to directly engage with researchers involved in the project and gain further insights into AI-Mind, its objectives, and access study materials through distributed flyers.

Stay tuned for live updates and insightful coverage from the AI-Mind team at the 33rd Alzheimer Europe Conference. Together, we forge ahead in the pursuit of groundbreaking advancements in dementia research.

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 964220.

For any inquiries you can also send an email to [email protected]

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