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43122.1 IP-LS
43122.1 IP-LS
Résumé
Machine Learning Supported Development of Connected Drug Delivery Devices
Textes supplémentaires
Abstract
Connected drug delivery devices open up new businesses. To assure that new devices are safe and easy to use, usability studies are key. Since their evaluation is time-consuming, this project investigates machine-learning methods to support development with automatically derived usability indicators.
Participants
Christoph Jordi
Wirtschaftspartner
Christoph.Jordi@ypsomed.com
Ypsomed AG CHE-109.446.354 Christoph Jordi Brunnmattstrasse 6 3400 Burgdorf BE CH
Quentin Lohmeyer
Kontaktperson
qlohmeyer@ethz.ch
ETH Zürich Quentin Lohmeyer Leonhardstrasse 21 8092 Zürich ZH CH
Détails du projet
- Office de recherche
- INNOSUISSE
- Statut du projet
- Abgeschlossen
- Type de projet
- Forschungsprojekt
- Date de début
- 2020-10-31
- Date de fin
- 2022-10-31
- Coûts totaux approuvés
- CHF 260400.00
- Section
- 60 Life Sciences
- Domaine politique NABS
- Industrielle Produktivität und Technologie
Disciplines de recherche
- T115 Medical technology 100.0%