OBEClust Webinar "AI and Obesity Prevention: Leveraging Technology to Address Obesity"
Calling healthcare professionals and researchers!
We are excited to invite you to the first webinar of The European Cluster of Obesity Research Projects (OBEClust), titled “AI and Obesity Prevention: Leveraging Technology to Address Obesity”.
In this session, you'll gain valuable insights into the latest technological advancements and how they can be applied to address one of the most pressing public health challenges in the EU and beyond. Join industry leaders, including Jennifer Baker, President-elect of The European Association for the Study of Obesity (EASO), alongside renowned experts from academia and technology.
Further details on speakers and agenda will be shared soon
Tickets
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Agenda
11:00 - 11:10 am: Greetings & Opening Remarks from Paulo Oliveira, OBEClust Chair & PAS GRAS Coordinator
11:10 - 11:20am: "AI and Obesity Prevention: Leveraging Technology to Address Obesity" Jennifer Baker, EASO President Elect & Head of Lifecourse Epidemiology at the Center for Clinical Research and Prevention, Copenhagen University Hospital-Bispebjerg and Frederiksberg, OBCT, BIO-STREAMS & BETTER4U Projects
11:20 - 11:30am: "AI tools to predict, grade, and better treat cardiometabolic disorders" Nicolas Gambardella, Research director, CNRS, European Genomics Institute for Diabetes, Obelisk Project
11:30 - 11:40am: "AI to catch the heterogeneity of metabolic diseases" Silvia Sabatini, Junior Researcher, Institute of Clinical Physiology, National Research Council- CNR, Pisa, Italy, PAS GRAS Project
11:40 - 11:50am: "Requirements for leveraging AI for childhood obesity interventions" Andreas Vezakis, Team Member at Biomedical Engineering Lab, National Technical University of Athens, BIO-STREAMS Project
11:50 -12:05pm: "AI to better predict childhood obesity" Petar Atanasov, WP7 Chair, Multi-omics, Bioinformatics & AI, Amaris; Álex Bravo Serrano, Machine Learning and Natural Language Processing (NLP) Researcher/Developer, Amaris, eprObes Project
12:05-12:15pm: "Decoding Obesity – From Multimodal Data to Personalised Insights with Causal Artificial Intelligence" Stavroula Mougiakakou, Associate Professor at the Faculty of Medicine, University of Bern, BETTER4U Project
12:15-12:30pm: Q&A and webinar closure