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UnRealBody: Inoculating Young People Against Harm from Unrealistic AI-Based Body Images

A growing body of research in psychology and sociology has shown that profound dissatisfaction with body image is an increasingly pressing problem among young people, partly due to media exposure, which is expected to worsen with AI-generated idealised bodies. In UnRealBody, we will develop an intervention to inoculate young people… Read More »UnRealBody: Inoculating Young People Against Harm from Unrealistic AI-Based Body Images

InnoTreat

Towards Personalized Treatment Decisions with Digital Twins The InnoTreat: Towards Personalized Treatment Decisions with Digital Twins project aims to improve the accuracy of clinical diagnosis and treatment decisions for shoulder pathologies. By integrating patient-specific anatomy into biomechanical simulations, the project aims to provide insight into the underlying mechanisms of shoulder… Read More »InnoTreat

Advancing Information Accessibility in Hospitals Employing Large Language Models

In an ICU, time-efficient retrieval, precise understanding, and following Standard Operating Procedures (SOPs) are critical for ensuring optimal treatment and patient safety. To address this, we develop a multi-lingual, user-tailored, and AI-powered dialogue system over SOP documents which is seamlessly integrated with medical semantic taxonomies. Core team Dr. Ahmad Aghaebrahimian,… Read More »Advancing Information Accessibility in Hospitals Employing Large Language Models

MedTwins Agil.IT

Bridging Orthopedics through Digital Mirroring MedTwins Agil.IT will leverage cloud services to create a Trusted Research Environment connecting the hospital IT system with scalable IT resources. This agile environment will pave the way for cloud usage in the R&D process of clinical AI and accelerate the translation of digital technology… Read More »MedTwins Agil.IT

ConCLAS

The ConCLAS project pioneers deep-learning analysis of high-density EEG data, combining it with real-time closed-loop auditory brain stimulation. The resulting enabling technology enhances non-invasive brain interventions developed by Tosoo AG and TI Solutions AG, and advances clinical diagnostics and therapeutic interventions. Core team  Dr. Samuel Wehrli, ZHAW Life Sciences und Facility… Read More »ConCLAS

Apéro Digital

The Apéro Digital event series are regular in-person gatherings for those who are interested in science and technology to meet and discuss pressing issues related to digitalization, innovations and society in a systematic and argumentative way. Apéro Digital is composed of public talks around topics related to human-centered technology and value-based… Read More »Apéro Digital

Exergames for Health – Bringing digital and motivating forms of therapy and training to the clinic and public

The development of exergames for rehabilitation requires an interdisciplinary approach. Exergameathons (a combination of interdisciplinary input and a hackathon format for the development of new exergame ideas) are intended to reduce the barriers to the use of exergames in the healthcare sector by involving healthcare professionals and the public. Team… Read More »Exergames for Health – Bringing digital and motivating forms of therapy and training to the clinic and public

Growing a public self-sustaining community for Activity Pacing and Long Covid patients

MindfulPacer is an innovative platform made up of a smartwatch application and a smartphone app. The platform helps people affected by Long Covid manage their symptoms by providing them with real-time data related to their physical activity.  The research prototype is now to be made publicly available and, in collaboration… Read More »Growing a public self-sustaining community for Activity Pacing and Long Covid patients

Redefining standard fatigue assessments through novel digital biomarkers

The project team will provide the first digital biomarkers for the objective assessment of fatigue. This will help the pharmaceutical industry to provide new or existing treatments with efficacy claims against fatigue. It will also support clinical decision making and help patients regain control over fatigue. By customizing the tools… Read More »Redefining standard fatigue assessments through novel digital biomarkers

Stroke DynamiX

Stroke DynamiX explores data-driven stroke management using machine-learning techniques in a consortium of statistics researchers, translational enablers, and clinical partners. We implement statistical tools to dynamically model stroke epidemiologically and predict real-time sepsis onset in the clinic. Core team:  Dr. Georg Spinner, ZHAW Life Sciences und Facility Management Prof. Dr.… Read More »Stroke DynamiX