Centre for Digital Health Interventions
The Centre for Digital Health Interventions (CDHI) is a collaborative initiative involving the University of Zurich, ETH Zurich, the Singapore-ETH Centre, and the University of St. Gallen. It focuses on advancing digital health through research in digital biomarkers, health interventions, and innovative healthcare solutions. The organization aims to bridge the gap between research and care, leveraging artificial intelligence, wearable devices, and digital therapeutics to improve health outcomes and support behavior change.
Industries
Nr. of Employees
medium (51-250)
Centre for Digital Health Interventions
University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
Products
Wearable-based lifestyle and prediabetes study (GLOW UP)
Research project evaluating wearable-derived lifestyle signals (activity, sleep, diet) to identify prediabetes using fasting glucose and HbA1c measurements.
Wearable-based dysglycemia detection and in-vehicle monitoring
Research prototypes and algorithms to detect and predict dysglycemic events using wearable sensors and provide context-aware warnings, including in-vehicle alerts.
Open-source intervention and feature-generation software
Open-source software to deploy behavioral interventions and extract features from wearable time-series for research and trials.
AI-based nutrition monitoring pilot
Project applying computer vision and AI to monitor nutrition and detect malnutrition risk in hospital patients.
Women's health research app (customizable research app)
Open, customizable research application to collect longitudinal self-report and sensor data for menstrual and reproductive health research.
Voice assistant for people with early dementia (research prototype)
Design and evaluation of a voice-based assistant tailored to support daily tasks and care continuity for individuals with early-stage cognitive impairment.
Wearable-based lifestyle and prediabetes study (GLOW UP)
Research project evaluating wearable-derived lifestyle signals (activity, sleep, diet) to identify prediabetes using fasting glucose and HbA1c measurements.
Wearable-based dysglycemia detection and in-vehicle monitoring
Research prototypes and algorithms to detect and predict dysglycemic events using wearable sensors and provide context-aware warnings, including in-vehicle alerts.
Open-source intervention and feature-generation software
Open-source software to deploy behavioral interventions and extract features from wearable time-series for research and trials.
AI-based nutrition monitoring pilot
Project applying computer vision and AI to monitor nutrition and detect malnutrition risk in hospital patients.
Women's health research app (customizable research app)
Open, customizable research application to collect longitudinal self-report and sensor data for menstrual and reproductive health research.
Voice assistant for people with early dementia (research prototype)
Design and evaluation of a voice-based assistant tailored to support daily tasks and care continuity for individuals with early-stage cognitive impairment.
Services
Collaborative service to co-design, implement, and evaluate precision digital therapeutic interventions and associated trial protocols for patient-reported outcomes and efficacy assessment.
Academic continuing education programs and short courses covering design, evaluation, implementation, scaling, and reimbursement of digital therapeutics and precision digital therapeutics.
Short courses and masterclasses on precision digital therapeutics, covering personalization strategies, generative AI applications, trial methods, and implementation challenges.
Collaborative service to co-design, implement, and evaluate precision digital therapeutic interventions and associated trial protocols for patient-reported outcomes and efficacy assessment.
Academic continuing education programs and short courses covering design, evaluation, implementation, scaling, and reimbursement of digital therapeutics and precision digital therapeutics.
Short courses and masterclasses on precision digital therapeutics, covering personalization strategies, generative AI applications, trial methods, and implementation challenges.
Expertise Areas
- Digital biomarker research and validation
- Digital phenotyping and multimodal sensor analytics
- Machine learning for wearable, audio, and clinical data
- Conversational AI and embodied voice assistants for care
Key Technologies
- Machine learning and deep learning
- Large language models (LLMs)
- Pretrained audio models and audio deep learning
- Time-series and longitudinal data analysis
News & Updates
Participation in a major conference on AI and HCI, showcasing digital health research.
A summer school focusing on precision digital therapeutics and personalized health.
Recognition for research in human-computer interaction related to digital health.
Awarded to Robin Deuber and team for their research in digital health at CHI 2025.
Participation in a major conference on AI and HCI, showcasing digital health research.
A summer school focusing on precision digital therapeutics and personalized health.
Recognition for research in human-computer interaction related to digital health.
Awarded to Robin Deuber and team for their research in digital health at CHI 2025.