Research
Wearable Bio-sensing and AI for Health Care
The research group SCAI Lab founded through the Swiss Paraplegic Foundation aims to identify digital biomarkers and develop sensing technology for SCI comorbidities and develop early identification systems by employing intelligent collection and analysis of large multimodal and heterogeneous data. Our research in wearable sensing technology for healthcare focuses on improving outpatient care applied to chronic SCI.
Investigating Multimodal Sensing and Human Modelling
Our mission is to improve the long-term prognosis post in Spinal Cord Injury through continuous monitoring and data-based modelling. With this goal in mind, we investigate Artificial Intelligence methods in the healthcare field with a focus on integrating multimodal data from wearables and routine clinical examinations to construct a more holistic understanding of disease development and interactions between multiple secondary conditions.
Our vision is to achieve digital twin models for personalized predictive systems in clinical practice, through the identification of direct and indirect digital biomarkers leveraging advanced machine learning and statistical inference. Hereafter, enhancing the clinical decision-making process and enabling new interventional strategies for inpatient and outpatient life in chronic conditions.
In this process, we aim to produce high-quality data and automated analysis through a system of integrated patient-caregiver-clinician-machine interaction, closing the loop of continued life-long health support for SCI individuals.
This will result in a digital TWINS model that combines clinical and remote sensing technology for the estimation of disease onset likelihood through data-backed predictive systems.
