InnoTreat: Towards Personalized Treatment Decisions with Digital Twins

Description

The "InnoTreat: Towards Personalized Treatment Decisions with Digital Twins", initiated by the Digitalization Initiative of the Universities of Zurich (DIZH), aims to personalize clinical diagnosis and treatment decisions for shoulder pathology. By integrating patient-specific anatomy into biomechanical simulations, the project aims to provide insight into the underlying mechanisms of shoulder pathology and thereby improve rehabilitation programs.

Focusing on rotator cuff tears, which affect a significant portion of the population, the project addresses the limitations of current treatment options by developing a digital twin application that visualizes patient-specific diagnoses and altered biomechanics. The multi-institutional collaboration leverages expertise in imaging (University of Zurich), biomechanics (ZHAW, TU Delft), and clinical practice (Universtiy Hopsital Basel) to ensure the success of the project

Home page of the Shoulder Reconstruction Tool: Rotator cuff status — The Shoulder Reconstruction Tool allows clinical and morphological parameters for shoulder reconstruction to be entered, 3D modelling to be carried out, and the shoulder anatomy to be optimised for better clinical outcomes (Shoulder Reconstruction Tool)

Input mask for clinical and morphological parameters (Shoulder Reconstruction Tool)

Modelling of the shoulder bones: on the left, the average shape; on the right, the reconstructed shape. — The Shoulder Reconstruction Tool can be used to visualise the average shape of the shoulder anatomy and the reconstructed shape (Shoulder Reconstruction Tool)

Key data

Projectlead

Jeremy Genter

Deputy Projectlead

Prof. Dr. Daniel Baumgartner

Project team

Andrea Kilchenmann, Lisa Mareschal

Project partners

Universität Basel; Universitätsspital Basel; Universität Zürich UZH / Institut für Rechtsmedizin; Schulthess Klinik; Delft University of Technology; Inselspital Bern

Project status

completed, 11/2024 - 10/2026

Institute/Centre

Institute of Mechanical Systems (IMES)

Funding partner

Digitalisierungsinitiative der Zürcher Hochschulen DIZH

Project budget

310'000 CHF