Engineering
How does a device automatically detect cells and structures? Using real image data from urine diagnostics, we demonstrate how machine learning methods analyze and interpret medical images. Visitors gain insights into different analytical approaches and learn how precise diagnostic information is derived from image data.
Start
17:00
o'clock
End
00:00
o'clock
Description
anvajo: Diagnostics you can touch – cells, data and high-tech devicesAt anvajo, visitors gain comprehensive insights into the world of modern medical technology, ranging from biological structures under the microscope to data-driven analysis methods and the development and manufacturing of complex diagnostic systems.
As part of the Long Night of Sciences, we demonstrate how cells, data, and engineering come together to create innovative solutions for medical diagnostics. This makes visible how closely research, software, hardware, and production are interconnected, and how interdisciplinary development leads to concrete applications in the laboratory.
In addition to technological insights, anvajo also offers a behind-the-scenes look at the company itself: including insights into our way of working, our teams, and the people behind the development.
The event is aimed at everyone who wants not only to understand modern medical technology, but to experience it directly: in a vivid, interactive, and multi-perspective way.
Information on the event format
PresentationStations
Zwickauer Straße
Agentur für Arbeit
- 62 (bus)