Program
In this program, we address the cardinal points allowing efficient digital technology transfer between academia and medtech industry. Training (T) of professional profiles competitive in understanding data-driven technology. Research and development (R&D) strategies for conducting solid translational research. Creation of an environment in which innovation (I) relies on complementary resources and expertise.
20.05.2021 | R&D – Towards Trustworthy ML in Medical Image Analysis Ender Konukoglu, Prof. Dr., ETHZ |
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17.06.2021 | R&D – Real World Interpretable ML Algorithms in Dermatology Consultation Javier Barranco Garcia, Dr., USZ |
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01.07.2021 | R&D – Artificial Intelligence in Radiation Oncology Martin Kocher, Prof. Dr., University of Cologne |
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15.07.2021 | I – Incubation Programs Matthias Herrmann, USZ |
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02.09.2021 | R&D – Machine Learning in Cardiac Imaging Fabian Laqua, USZ |
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30.09.2021 | R&D – Machine Learning in Cardiac Imaging Fabian Laqua, USZ |
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04.11.2021 | The Importance of Research and Partnership Strategies for Early-stage Startups Utku Gülan, Dr., HiD-Imaging |
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18.11.2021 | R&D – AI in Hybrid Imaging: Aims and Limitations Michael Messerli, Dr., USZ |
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02.12.2021 | I – How to Cope with the Regulatory Environment Roger Abächerli, Prof. Dr., HSLU |
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16.12.2021 | I – Create Your Own Startup Cristina Rossi, PD Dr., USZ |
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