Recording: Building safe and reliable AI for health care – insights from real world use cases
Together with our experts, we shared some insights on how you can build safe and reliable AI for health care and share some interesting real-world use cases. Interested?
Learn more in our webcast recording or get directly in touch with our experts.
Learn more in our webcast recording
Questions? Reach out to our experts:
Bardia M. Zanganeh
Senior Business Development Manager
Bardia M. Zanganeh is responsible for the Life Sciences and Healthcare practice in Switzerland. He serves leading healthcare institutions on all technology agenda issues. His primary areas of focus include digital innovation, business model transformation and product innovation. He also serves providers as well as medical technology and pharmaceutical companies. He has a background in engineering, consulting and entrepreneurship and is a lecturer at the University of Applied Sciences in Business Administration in Zurich.
Principal Data Scientist
Gabriel Krummenacher leads the Data Science Team at Zühlke and has several years of experience in conducting data analytics and machine learning projects. His main focus is on medical machine learning applications and bringing prototypes to production. He holds a PhD and M.Sc. from the Institute for Machine Learning at ETH, where he worked on scalable methods for large-scale and robust learning, wheel defect detection and sleep stage prediction with deep learning.