Elin Nyman and Henrik Podéus both participated in the 2025 Systems Biology of Human Disease (SBHD) conference, held in Berlin and hosted by the Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin.

Elin Nyman presented “Machine Learning for Forensic Predictions of Time and Cause of Death”, showcasing how metabolomics data combined with machine learning models can support forensic investigations.

Henrik Podéus presented hiw work on “Enhancing Disease Screening Through Alcohol Consumption Markers and Digital Monitoring Tools”, highlighting the use of our digital twin models in innovative approaches to monitor alcohol consumption.
Both Elin’s and Henrik’s contributions added valuable perspectives to the interdisciplinary agenda of the conference, which this year placed particular emphasis on artificial intelligence, cancer, infectious diseases, and aging.