We invite motivated masters students in a dynamic research project focused on analyzing the market landscape of digital biomarker companies that aim to prevent diabetes. This research will explore how startups leverage new wearable technologies and personalized analytics, to drive forward innovation in diabetes prevention. [...]

We invite motivated Master’s students to participate in an important and timely research project investigating whether, and to what degree, digital biomarkers can predict diabetes outcomes. As digital health tools continue to advance, understanding how data from wearables, smartphones, and other technologies can help forecast [...]

Metabolic diseases, such as cardiovascular disease and diabetes, are leading causes of global mortality and disability [1]. A growing body of research highlights the potential of wearable devices and smartphones to monitor modifiable risk factors (physiological and lifestyle, such as nutrition, sleep, stress and physical [...]

We invite motivated Master’s students to participate in a critical and timely research project focused on the evolving landscape of reimbursement models for technology-supported rehabilitation interventions. As healthcare increasingly integrates innovative technologies, understanding how these interventions are funded and reimbursed is essential for widespread adoption [...]

We are seeking motivated and dedicated Master’s students to contribute to an important and emerging area of research: the use of wearable technology and ecological momentary assessments (EMAs) among children and adolescents affected by type-1 diabetes and their families. As wearable devices and EMAs become [...]

Digital phenotyping uses data collected from digital devices, such as smartphones, wearables, and other connected devices, to measure and analyze human behaviors, physiological signals, and mental health. This data is typically gathered passively and in real-time, capturing aspects like movement patterns, social interactions, sleep habits, [...]