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

Introduction to the Lifelines cohort (10 minutes)
Roos Borgman – Lifelines
An introduction to the Lifelines study, its design, and the types of data available for research.

AI and new forms of data collection (10 minutes)
Ilse Broeders – Projectmanager, lifelines
Developments in AI and data collection, including self-tracking, wearable technologies, and synthetic data.

Opportunities and impact for health (10 minutes)
Roos Borgman & Ilse Broeders
An inspiring use case demonstrating how Lifelines data can contribute to new insights and applications in health research.

Interactive discussion and Q&A
Following the presentations, there will be time for discussion, questions, and the exploration of potential collaborations.

Purpose of the Session

The aim of this session is to foster new connections between researchers and others interested in working with Lifelines data. We hope to encourage the use of this type of data and explore opportunities for new collaborations and research projects.

This event is organised within the technology for public health theme of Aletta.