Training AI models to predict a person’s health status and biological age from DNA methylation data
October 17, 2025 @ 10:00 – 11:00 CEST
Speaker: Maria Lerm, Linköping university.
NBIS and SciLifeLab Data Centre arrange an open SciLifeLab AI Seminar Series aimed at knowledge-sharing about Artificial Intelligence and applications in the Life Science community. The seminar series is open to everyone. The seminar is run over Zoom on the third Friday of the month during academic terms, typically between 10 and 11 am, with approx. 45 min presentation and 15 min discussion.
Abstract
Precision medicine has long been synonymous with genomics, yet this narrow view overlooks the profound influence of an individual’s lifestyle, environmental exposures, infections, and other stressors on disease risks of common diseases. In fact, the lasting epigenetic marks caused by these stressors predict disease risks far more powerfully than identification of disease-predisposing genetic variants.
In this talk I will tell you about our project in which we train AI models on rich health data and DNA methylome data to make predictions regarding a persons biological age as well as cardiovascular, metabolic and lung health. I will reveal how the unique explainability built into our AI architecture can find causality in cellular processes contributing to ageing on an individual basis.
Contact
For questions, contact bengt.sennblad@scilifelab.se
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