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 |
17.06.2021 |
R&D – Real World Interpretable ML Algorithms in Dermatology Consultation
Javier Barranco Garcia, Dr., USZ |
01.07.2021 |
R&D – Artificial Intelligence in Radiation Oncology
Martin Kocher, Prof. Dr., University of Cologne |
15.07.2021 |
I – Incubation Programs
Matthias Herrmann, USZ |
02.09.2021 |
R&D – Machine Learning in Cardiac Imaging
Fabian Laqua, USZ |
30.09.2021 |
R&D – Machine Learning in Cardiac Imaging
Fabian Laqua, USZ |
04.11.2021 |
The Importance of Research and Partnership Strategies for Early-stage Startups
Utku Gülan, Dr., HiD-Imaging |
18.11.2021 |
R&D – AI in Hybrid Imaging: Aims and Limitations
Michael Messerli, Dr., USZ |
02.12.2021 |
I – How to Cope with the Regulatory Environment
Roger Abächerli, Prof. Dr., HSLU |
16.12.2021 |
I – Create Your Own Startup
Cristina Rossi, PD Dr., USZ |