Electrocardiography age as a digital biomarker? Open questions and scientific challenges
Eventi

Electrocardiography age as a digital biomarker? Open questions and scientific challenges

30 MARZO 2026

Immagine di presentazione 1

Speaker: Prof. Nicolai Spicher

30 Marzo 2026 | 16:00
DEIB,  Sala Seminari "N. Schiavoni" (Ed. 20A)
On line by Webex

Contatti:  Proff. Riccardo Barbieri,  Monica Soncini

Sommario

On March 30th, 2026 at 4.00 pm Prof. Nicolai Spicher, Department of Health Technology, Technical University of Denmark (DTU, Danmarks Tekniske Universitet), will give a seminar on "Electrocardiography age as a digital biomarker? Open questions and scientific challenges" in DEIB Seminar Room “Nicola Schiavoni”  (Building 20A).

Recently, end-to-end neural networks estimating biological age from 12-lead electrocardiography (ECG) have been proposed, and emerging evidence suggests that the difference between chronological age and “ECG age” could serve as a novel digital biomarker. Several studies have demonstrated clear associations with morbidity and mortality, both at the population level and within specific clinical subgroups, including acute care populations and individuals with congenital heart disease.
In this talk, I will provide an overview of the field and illustrate key concepts using examples from our own research. I will also introduce the open scientific questions and challenges that must be addressed before this technology can be translated into a practical tool for daily clinical practice or screening programs. These challenges include issues of trustworthiness, model fairness, robustness across diverse populations, and the interpretability required for clinical adoption.

Click here for the online connection.

Biografia

Nicolai Spicher is an Associate Professor within the Department of Health Technology at Technical University of Denmark (DTU). His research focuses on signal processing and machine learning, particularly their application in cardiology and neurology, with an emphasis on the analysis of medical time series data. Prior to coming to DTU, he was a Junior Research Group Leader at the University Medical Center Göttingen and completed postdoctoral training at the Peter L. Reichertz Institute for Medical Informatics at TU Brauschweig and Hannover Medical School. He holds a Ph.D. degree from University Duisburg/Essen where he was a member of the Erwin L. Hahn Institute for Magnetic Resonance Imaging and has a background in computer science. Nicolai is an active volunteer within the IEEE Engineering Medicine and Biology and served as representative within the administrative committee (2023-2026), chair of the Germany chapter (2023-2024), conference co-chair of the IEEE EMBC 2025.