Discovery, Causality, and Predictive Modelling
Digital biomarkers derived from wearables, smartphones, and ambient sensing are transforming biomedical research and clinical care by enabling continuous, real-world measurement of physiology, behaviour, and functional status. Yet, translating these signals into clinically valid, equitable, and actionable biomarkers remains a major scientific and deployment challenge. This special session will showcase state-of-the-art research across the full digital biomarker pipeline: (i) discovery and validation from high-frequency, multimodal time series; (ii) causal inference and counterfactual reasoning to improve interpretability, generalisability, and clinical utility; and (iii) predictive modelling for early detection, prognosis, and treatment response monitoring. Emphasis will be placed on principled approaches that address dataset shift, missingness, confounding, bias, and model calibration, alongside practical considerations for clinical integration, governance, and impact evaluation. The session aims to bring together researchers and clinicians working at the intersection of machine learning, statistics, digital health, and medical informatics, highlighting innovative applications in neurology, cardiometabolic disease, mental health, respiratory medicine, and remote patient monitoring. By combining methodological rigour with translational relevance, the session will promote reproducible and trustworthy AI for digital biomarkers and foster interdisciplinary collaboration across academia, healthcare systems, and industry. The session will be proposed as an open special session to encourage broad community submissions in addition to invited contributions.
Organisers:
Dr. Cristian Rodríguez Rivero, Associate Professor, Polytechnic University of Catalonia (UPC), Academic Associate, Cardiff Metropolitan University Lead, Neuroengineering Research Group (CERISS) cristian.maximiliano.rodriguez@upc.edu
Submission format:
This special session welcomesboth full length papers (12 pages plus up to 2 pages of references) and abstracts (up to 5 pages including references). Click here for detailed submission guidelines and templates.
Deadline: All deadlines, including submission deadline and review timeline are the same as the main conference. Please follow this link to see all the Important Dates.
If you have any questions regarding this Special Session, please contact the organiser.