Track, Predict, Prevent: 20 Years of Lifelines Data and the Future of Health
How can 20 years of Lifelines data contribute to new insights, better risk prediction, and innovation in health?
Lifelines is one of the largest long-running health studies in the Netherlands and has been collecting data from participants in the northern Netherlands for twenty years. During this lunch session, Roos Borgman and Ilse Broeders will show how these data can be used for research, new applications, and collaboration.
Roos Borgman will explain how Lifelines is designed and what research opportunities the cohort offers. Ilse Broeders will discuss new forms of digital data collection, including wearables, activity trackers, self-measurements using devices, and a digital assistant that guides participants through self-measurement.
Together, they will present recent research outcomes showing how artificial intelligence (AI) tools and machine learning (ML - models that learn patterns from data) can be used to combine complex datasets, such as omics, (epi)genetic, and biomarker data, and to further refine risk prediction models. They will also show how synthetic datasets can be used for educational purposes, AI Learning Communities, and training in how to structure and analyze large datasets.
After the presentation, there will be plenty of time for questions, exchange, and exploring possible collaboration.
Programme
12:00 - 12:10 PM
Introduction to Lifelines and its research opportunities - Roos Borgman, Lifelines
12:10 - 12:20 PM
New developments in AI and digital data collection - Ilse Broeders, projectmanager, Lifelines
12:20 - 12:30 PM
Recent research outcomes and applications for health - Roos Borgman and Ilse Broeders
12:30 - 1:00 PM
Questions, exchange, and discussion
Registration
Please register via the registration form and indicate whether you will attend in person or online.
Organization
This session is organized by the Tech & Public Health theme of the Aletta Jacobs School of Public Health, University of Groningen.