| Content | - Based on selected clinically relevant pathological conditions, in vitro diagnostic technologies that contribute to disease identification and their impact to support therapeutic decision making are discussed.
- Engineering aspects such as hardware design and data acquisition and data processing are addressed in the context of clinically-relevant biomarkers and integration of MedTech in clinical workflows.
- Typical limitations and challenges of novel diagnostic methods to achieve clinical acceptance.
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| Format | Lecture with excercises |
| Language | German/English |
| Lecturer | Prof. Dr. Oliver Hayden |
| Credits | 5 ECTS |
| SWS | 4 SWS |
| Semester | WS |
| Time | Friday 13:15 - 16:30 Uhr Kickoff: 17.10.2025, 13:15 Uhr |
| Place | TranslaTUM, Einsteinstrasse 25, Auditorium big part (right door), 22.00.1 |
| Examination | - In a written 60 min exam the students prove by solving tasks and answering questions, that they are able to correctly interpret the relationship between differentiated pathological health conditions and diagnostic parameters and data and to structure and analyse the construction principles and development processes of clinicaly-relevant diagnostic.
- In the exercise the students prove their ability to analyse and discuss the scope and limitations of clinical diagnostic studies.
- Written exam (80% or 60%), written course reflection (20%), optional presentation & book chapter (20%).
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