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Root number
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466813 |
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Semester
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HS2024 |
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Type of course
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Master Thesis |
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Allocation to subject
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Biomedical Sciences |
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Type of exam
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Presentation |
| Title |
Profiling metabolic health by means of digital biomarkers - a proof of concept study |
| Description |
Poor metabolic health is a gatekeeper various non-communicable diseases and major target of preventive and therapeutic interventions. Increasing digitization across the healthcare continuum has revolutionized medical research over the last decade. As a consequence, the term "digital biomarker" emerged, which describes a characterstic or set of characteristics collected from digital health technologies as an indicator of normal or pathologic status and/or response to a specific intervention. Digital biomarker-generating health technologies comprise the use of continuous glucose monitors, smartwatches, remote scales and mobile applications. The goal of the project is to novel digital biomarkers to characterise metabolic health by validating these against conventional in-clinic assessments in an ongoing cohort of adults undergoing anti-obesity treatment at the University Hospital of Bern. |
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ILIAS-Link (Learning resource for course)
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Link to another web site
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| Lecturers |
Prof. Dr.
Lia Claudia Bally, University Clinic for Diabetes, Endocrinology, Clinical Nutrition and Metabolism (UDEM) ✉
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Dr.
David Herzig, University Clinic for Diabetes, Endocrinology, Clinical Nutrition and Metabolism (UDEM) ✉
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Lum Kastrati, Institute of Social and Preventive Medicine ✉
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Maurice Oliver Rupp, University Clinic for Diabetes, Endocrinology, Clinical Nutrition and Metabolism (UDEM) ✉
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Mikael Nobel, University Clinic for Diabetes, Endocrinology, Clinical Nutrition and Metabolism (UDEM) ✉
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ECTS
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30 |
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Recognition as optional course possible
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Yes |
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Grading
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1 to 6 |
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Rooms
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| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
User:
Öffentlicher Bereich
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