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
Empowering stakeholders in school education for digitality The EnablEd project investigates how school staff can be empowered to help shape the digital transformation. It uses a range of different methods to determine the conditions for success in school staff development and thus develops an empowerment model that supports school leaders… Read More »EnablEd
A math tutor to provide support for individual learning needs The project aims to provide targeted support for students with low achievement in mathematics through an intelligent tutoring system. By combining instructional psychology, subject-specific didactics, and state-of-the-art technology, a personalized learning environment is created that contributes to greater educational equity.… Read More »MATHiL
Improving social services through a generative translation tool for plain/simple language: Validation of its use for social welfare clients, implementation principles and assessment of its impact on benefit uptake The project addresses non take-up of social welfare benefits due to language and administrative barriers. It proposes using an AI tool… Read More »Simplify!
Biodiversity monitoring of grasshoppers with an AI-supported mobile app The aim of the project is to develop the “ChirpScan” app, which uses artificial intelligence to automatically classify grasshoppers based on their songs. The app enables efficient monitoring of biodiversity and serves as a didactic tool to promote biodiversity education. It… Read More »ChirpScan
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
The project aims to develop a novel automated digital tool based on communication theory to analyze how different journalistic perspectives are linked in media reporting. The tool will benefit both strategic communication of organizations and journalistic research within media companies. Team Prof. Dr. Alexandre Bovet, UZH Department of Mathematical Modeling… Read More »New Digital Tools for Media Monitoring and Discourse Analysis
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