AI for Health and the Institute for Preventive Health (i4PH) would like to invite you to join us in our first live summit on Artificial Intelligence and Predictive Health at the newly-opened Omnia at Wageningen University & Research.
As the summit approaches, there is much exciting news to share. Read on for the latest (keynote) speaker announcements, break-out sessions, demonstrations and networking opportunities.
Networking and demos
Join us right from the start – at 12.00 hrs – for drinks and bite and use the opportunity to meet and interact with your fellow participants: researchers from the four institutions of the alliance TU/e, WUR, UU, UMC Utrecht, all interested in the same topic ‘AI and Predictive Health’. As well as private companies and public and non-profit organizations interested in collaborating with research institutions.
Throughout the summit, live demonstrations of Ai For Health technologies will take place with a.o. the Digital Twin Laboratory (TU/e) and the Food Tray Measuring Consumption (WUR).
Keynote speakers announced
We are pleased to announce to have live on stage the following (keynote) speakers:
Maarten van Smeden (Associate Professor Department of Epidemiology, UMCU):
“Guideline for high-quality diagnostic and prognostic applications of AI in healthcare”
Sander Bakkes (Assistant Professor and Game Researcher at the Faculty of Science, UU): “AI in games for health”
Masi Mohammadi (Professor Smart Architectural Technologies at TU/e): “Smart healthy neighborhoods”
In addition to our varied, plenary programme, four parallel breakout sessions are planned:
- Utrecht AI Labs – AI for Healthy Living
This session shows how the Utrecht AI Labs are set up and organised. Next, some projects of one of the labs, AI for Healthy Living, are presented.
Facilitator: Laurence Frank, Liaison officer AI for Health, Utrecht University
– Thomas Dohmen, Director Utrecht AI Labs
– Dr. Hanna Hauptmann, researcher and coordinator of the AI Lab for Healthy Living at Utrecht University
- AI research, development and implementation in the healthcare setting
Artificial intelligence (AI) and machine learning solutions are transforming the field of healthcare. Healthcare institutes have accumulated vast data sets in the form of health records and images, population data, and clinical trial data. AI technologies are well suited to analyse this data and uncover patterns and insights that can be used to both optimize and improve the healthcare of today and in the future. Let our presenters take you through a cross section of AI developments in the hospital setting.
Facilitator: Harry Pijl, Program Manager Board of Directors (UMCU)
– Sam van Beuningen, Senior Researcher / Jeffrey Beekman, Prof. Cellular models (UMC Utrecht)
– Eline de Groot, PhD Student in Neonatology department (UMC Utrecht)
– Teus Kappen, Chief Science Information Officer / Anesthesiologist (UMC Utrecht)
- Leveraging AI for healthy and sustainable living and society
AI could play a crucial role in addressing the most fundamental challenges of our society. Get examples from our presenters on the role that AI could play, and is playing, in achieving healthy and sustainable living and society.
Facilitator: Martine van der Mast, Programme Director of Institute for Preventive Health
– Guido Camps, Senior researcher at Human Nutrition & Health (WUR)
– Spencer Moore Jr., Chair and Professor at Health and Society (WUR)
– Ricardo da Silva Torres, Professor in Data Science and Artificial Intelligence of Wageningen Data Competence Center (WUR)
– Alexander Klippel, Chair of the Laboratory of Geo-information Science and Remote Sensing from Environmental Sciences Group (WUR)
- The Future and the Now of the Healthcare, and the challenges on the way in between
The presenters of the session will provide deeper insights into the digital twin technology as a game changer for healthcare and will talk about the existing challenges at the panel discussion: ‘What challenges do researchers see in the use of digital twin for advancement of health and how to overcome them?’.
Facilitator: Dasha Alexeeva
– Shane O’Seasnain, Director Eindhoven AI Systems Institute (EAISI) Program Board (TU/e )
– Shauna O’Donovan, Assistant Professor at Biomedical Engineering & Computational Biology (TU/e)
– Theo Arentze, Full Professor at Built Environment (TU/e)
- Inclusive training datasets for text mining purposes
Using three use-cases, (ASReview, OpenAlex) the presenters will demonstrate the importance of high quality training data for text mining purposes. The discussion will focus on the importance of inclusive training datasets covering more than just the western world. Jointly we will establish a set of requirements for inclusive training data
Facilitator: Rens van de Schoot, professor at UU and coordinator of the SIG on Active Learning
– Jelle Teijema, maintainer of Makita, an open-source simulation toolkit for text mining (UU)
– Ayoub Bagheri, Assistant Professor in the area of Applied Data Science (UU)
– Tijmen Altena, CTO IDfuse/Impacter
– Anastasia Giachanou, Assistant Professor in the area of Applied Data Science (UU)
Please click here to read the full summit programme.
The summit will be moderated by Simone Ritzer, Lead of the Wageningen Dialogues program and the eight-years-old sidekick Mo.
Information & registration
Participation at the event is free of charge, but register via this link before 23 September 2022.
In case you may have any questions, please send an e-mail to firstname.lastname@example.org. The summit will be held in English.