ZHAW Digital Health Lab
The ZHAW Digital Health Lab brings together experts from the fields of biomedicine, health, technology and business, who together create innovations for digitisation in healthcare.
We firmly believe that through sustainable digital transformation, the healthcare system can be enhanced, leading to improved health and well-being for the population and all stakeholders.
Our contribution to fostering intelligent digital transformation in the healthcare sector includes:
- Conducting application-oriented, interdisciplinary research and development while ensuring the transfer of knowledge and methods into both education and practical application.
- Connecting expertise from specialized research groups and establishing practical contacts across various domains, roles, and hierarchies.
- Cultivating synergies through collaborative network efforts, thereby serving as a unique hub for interdisciplinary, application-oriented excellence.
09.11.2023 - Digital Health Lab Webinar: Digitale Kompetenzen von Pflegefachpersonen und Mediziner:innen – Sind sie bereit für die digitale Zukunft? | Prof. Dr. Alfred Angerer, ZHAW
19.10.2023 - Digital Health Lab Webinar: AI Leaders in Swiss Healthcare | Blaise Jacholkowski, Zühlke & Dr. Jens Haarmann, ZHAW
07.09.2023 - Digital Health Lab Webinar: ExerUP!: Design and evaluation of a digital exergame-based solution for an effective and attractive sports rehabilitation | Michelle Haas, ZHAW
In keynotes, workshops, poster presentations and start-up pitches as well as other formats, the developments and specific applications of digital solutions for the healthcare sector will be presented and discussed using impressive showcases.
5. Digital Health Lab Day - Digital Strategies for Future Healthcare
4. Digital Health Lab Day - Smart Healthcare & Digital Innovation
3. Digital Health Lab Day - Implementing Digital Health Innovations
2. Digital Health Lab Day - Digital Citizen-based Medicine
OSR4H – Open Set Recognition for Hematology
Development of a Proof of Concept for visual Open Set Recognition (OSR) algorithms applied to a Hematology task, the classification of white blood cells.
AC3T – AI powered CBCT for improved Combination Cancer Therapy
The project enables a novel, combined, adaptive cancer therapy combining tumor treating field and radiation therapy due to significantly improved static (3D) and time-resolved (4D) low dose Cone Beam Computer Tomography images based on artificial intelligence image reconstruction algorithms. ...
AUTODIDACT – Automated Video Data Annotation to Empower the ICU Cockpit Platform for Clinical Decision Support
Monitoring diverse sensor signals of patients in intensive care can be key to detect potentially fatal emergencies. But in order to perform the monitoring automatically, the monitoring system has to know what is currently happening to the patient: if the patient is for example currently being moved by medical staff, ...
Deep Brain Vessel Profiler
The architecture of the supplying brain blood vessels is believed to impact the occurrence and severity of common cerebrovascular diseases such as ischemic strokes or intracranial aneurysms. In this project, we study methods to efficiently quantify the variability in human cerebral vasculature and how this ...
To increase patient adherence, the Digital Companion combines electronic medical records with a patient app to create a highly integrated system, closing the loop from one consultation to the next. Helmedica is thus gearing up against foreign competition.
Reissenberger, Pamela; Serfözö, Peter; Piper, Diana; Juchler, Norman; Glanzmann, Sara; Gram, Jasmin; Hensler, Karina; Tonidandel, Hannah; Börlin, Elena; D’Souza, Marcus; Badertscher, Patrick; Eckstein, Jens,
Determine atrial fibrillation burden with a photoplethysmographic mobile sensor: the atrial fibrillation burden trial : detection and quantification of episodes of atrial fibrillation using a cloud analytics service connected to a wearable with photoplethysmographic sensor.
European Heart Journal - Digital Health.
4(5), pp. 402-410.
Available from: https://doi.org/10.1093/ehjdh/ztad039
Bächinger, David; Filidoro, Noemi; Naville, Marc; Juchler, Norman; Kurtcuoglu, Vartan; Nadol, Joseph B.; Schuknecht, Bernhard; Kleinjung, Tobias; Veraguth, Dorothe; Eckhard, Andreas H.,
13(1), pp. 10303.
Available from: https://doi.org/10.1038/s41598-023-36479-5
Emberger, Raphael; Boss, Jens Michael; Baumann, Daniel; Seric, Marko; Huo, Shufan; Tuggener, Lukas; Keller, Emanuela; Stadelmann, Thilo,
2023 10th IEEE Swiss Conference on Data Science (SDS).
10th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 22-23 June 2023.
Available from: https://doi.org/10.1109/SDS57534.2023.00019
Schmitter, Paul; Kirecci, Ilyas; Gatziu Grivas, Stella; Hanne, Thomas; Beck, Chantal,
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-27958
Schmitter, Paul; Ashworth, Simon,
IOP Conference Series: Earth and Environmental Science.
CIB W070 Conference on Facility Management and Maintenance 2023, Trondheim, Norway, 8-11 May 2023.
Available from: https://doi.org/10.1088/1755-1315/1176/1/012012
Gerber, Nicole; Merkle, Thorsten; Jeanfavre, Elsa,
Erhöhung des Wohlergehens von Bewohnenden in Alters- und Pflegeheimen durch Flexibilisierung der Verpflegungsleistungen mithilfe von Technologie : Schlussbericht der Vorstudie als Basis für weitere Forschungstätigkeiten.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-26854
Would you like to know more about the ZHAW Digital Health Lab? Alternatively, would you like to join us in creating healthcare innovations? Contact us at email@example.com.