In an Innosuisse project with SYNBONE AG, our Product Development Group has developed a novel digital training system which uses a digital twin to objectively assess surgical activities, allowing trainees to train more independently while receiving detailed evaluations of their skills.
Outstanding demonstration of the design opportunities of the AM technology ‘Metal Binder Jetting’ by a group of students from the Design for Additive Manufacturing lecture
VENT Creativity and ETH Zurich developed an AR application for HoloLens 2 to aid orthopedic surgeries, offering enhanced precision, with advanced surgical planning options and immediate feedback.
In collaboration with the Hamburg University of Technology (TUHH), the p|dz and inspire have developed an AM adjustable hydraulic damper. The recently published journal article describes the development process in detail and shows the testing results of the three damper iterations.
A Team of Julian Wolf, pd|z doctoral student at ETH Zurich together with Florentin Liebman and Marco von Atzigen from the University of Zurich/Balgrist have received the «HMZ Award - The PhD team challenge» honoring the team of PhD students of UZH and ETH working together towards a scientific goal.
Our introductory course about Agile product development lets you experience the basic mechanisms of Agile for hardware during a simulated product development project – without prior knowledge about engineering tools.
Using machine learning assisted measurement of peripheral vision, researchers of pdz introduced a novel visual attention measure in their newest article which was selected as best paper at the ETVIS workshop of the ACM Symposium of Eye Tracking Research & Applications (ETRA) 2023.
Exploring the Potential of Augmented Reality for Independent, Objective Surgical Training
In an Innosuisse project with SYNBONE AG, our Product Development Group has developed a novel digital training system which uses a digital twin to objectively assess surgical activities, allowing trainees to train more independently while receiving detailed evaluations of their skills.
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In an Innosuisse project with SYNBONE AG, our Product Development Group has developed a novel digital training system which uses a digital twin to objectively assess surgical activities, allowing trainees to train more independently while receiving detailed evaluations of their skills.
Outstanding demonstration of the design opportunities of the AM technology ‘Metal Binder Jetting’ by a group of students from the Design for Additive Manufacturing lecture