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OBEClust Webinar “AI and Obesity Prevention: Leveraging Technology to Address Obesity”
April 28 @ 11:00 am - 12:30 pm
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.
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
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
Registrations are now open at this link