The Best Blend of Tradition and Trend: Enhancing Cognitive Tests with Digital Pens and Mobile Brain Imaging The project enhances a neuropsychological test of visual memory, the Rey Figure Test, using smart pens and mobile brain imaging. The project team develops a computer vision algorithm to automate figure analysis, analyzes… Read More »CogniDIP
A virtual therapy guidance system for personalized rehabilitation after stroke This project develops a VR-based trunk control rehabilitation system for stroke patients, using adaptive algorithms, real-time motion data, and advanced communication. Through participatory design with clinicians and patients, we aim to create a user-friendly, scalable system that enhances recovery and… Read More »HoloTeach
Sensory Reweighting, Muscle Synergies and Triggers for Freezing of Gait in Parkinson’s Disease Freezing of Gait is a frequent and debillitating condition in Parkinson’s Disease, for which there is no proven therapeutic approach. AntiFreeze uses virtual reality to assess, evaluate, and train strategies to avoid Freezing in a tailored manner.… Read More »AntiFreeze
Headaches are a major cause of health loss in Switzerland. The DHDH project brings together digital and analog processes for headache communication. Using methods from linguistics and digital language analysis, the project team aim to close the gaps between communications in the hospital setting and pain expression in the digital… Read More »DHDH. Decoding Headaches in Digital Helvetia
Resource Activation for Teachers’ Well-being with Timely, Needs-Based Support Teaching is a highly stressful profession. This project aims to develop a scalable smartphone app using Just-In-Time Adaptive Interventions (JITAI) to enhance teachers’ well-being by activating resources. It will assess both effectiveness and implementation, with a user-centered and evidence-based design ensuring… Read More »REACT
Leveraging large language models to unlock and synthesize the expanding volume of medical research The overwhelming volume of published research hampers evidence-based medicine. The project team aims to develop MedLitGrasp, an online tool for researchers and clinicians, that uses large language models to automatically synthesize large volumes of biomarker data… Read More »MedLitGrasp
A Web-Based Cognitive Health Platform COPE-D develops the first web-based health platform for cognition that Standardizes and streamlines assessments for neuropsychologists. Empowers patients by providing access to their data. Additional patient education material is personalized and adapted to their cognitive deficit, promoting understanding and engagement in rehabilitation. COPE-D improves quality… Read More »COPE-D: COgnition and Patient Education – Digitalized
Sonified Neurological EEG Events Monitoring The project SonNEEM develops innovative solutions for more effective EEG monitoring and decision making in Intensive Care Units (ICU). The project team leverages machine learning, user centered data sonification and auditory display design, tailored to the challenges of ICU settings, with a focus on detection… Read More »SonNEEM
Radiology AI-Driven Clinical Decision-Making with Multi-Modal Exploration The rapid digital transformation in healthcare has surged data volume and variety, overwhelming clinicians. Much of this data is unstructured, making it hard to explore. Radiology, a key diagnostic field, faces fragmented records. We propose RADICAL, an AI tool streamlining workflows with natural… Read More »RADICAL
Using data mining to track antibiotic resistance for travelers to the global South The goal of the project is to strengthen surveillance of antimicrobial resistance in animals, and food products, with a focus on international travelers. The project team will explore (and quantify the uncertainty of) using text mining, and… Read More »Digitalizing the fight against superbugs