Projects
Institute of Computational Life Sciences
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ROADS: Reusing Openly Accessible research Data for Student theses
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Bridging the Gap: From Human Expertise to Autonomous Maintenance Services
Manufacturers struggle to provide customers context-and user-specific knowledge due to laborshortages and skill gaps in maintenance. Thus, an Autonomous Maintenance Service (AMS) will leverage Large Language Models to systemize & provide manufacturers' existing expert knowledge as a service. ...
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ZHAW Summer School for HealthTech Innovators
Planning, promotion and realisation of the 3rd ZHAW HealthTech Summer School according to the Stanford Biodesign innovation approach: 2.5 weeks in July with clinical immersions in three different medical application areas to develop disruptive Digital Health, DTx and MedTech solutions.
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Computational Thinking Education for Diversity and Inclusion (CoTEDI)
This Erasmus+ project aims to identify, develop and implement a new common methodology for the application of computational thinking (CT) in a variety of educational settings with a focus on teacher professionalisation and student empowerment. Special attention will be paid to inclusion criteria, special educational ...
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Stability of self-organizing net fragments as inductive bias for next-generation deep learning
We recently released "A Theory of Natural Intelligence", proposing a possible key to the emergence of intelligence in biological learners. Goal of this fellowship is to develop a technical implementation of the concept of self-organizing netfragments within contemporary deep artificial neural nets. ...
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Nowcasting water toxicity using information fusion and maschine learning
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Drone Signal Dataset
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Maximizing the Benefits of Organic Fertilizers: A Data-Driven Approach to Improve Efficiency and Reduce Pollution
The project aims at assessing the use of soil enzymatic activity to improve the use efficiency of nitrogen in agriculture to fulfill environmental goals and climate targets. We work together with ETH spin-off Digit Soil who already developed a device measuring on-site biological activity, an important soil process ...
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Evaluation of modification in aerospace regulations using generative artificial intelligence models
Creation of a proof of concept for innovative analytics for aerospace compliance using machine learning.
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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. ...
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Automatic individualization of mathematics tasks
In this project, the exercises provided to the students are to be automatically individualized. For this purpose, the exercises and exams solved by the students are analyzed and theand the missing competences will be identified. This approach should generate exercises optimized for each student and therefore provide ...
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Construction kit online didactics
Due to the limited resources of rooms and the increased demand for offers of part-time study, the online part of teaching and the quality of e-learning didactics in online courses are becoming more and more important. In the project "Building Blocks for Inspiration in Online Didactics", lecturers from diverse ...
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Digital Health Zurich – A practice lab for patient-centred clinical innovation
Digital Health Zurich researches digital health solutions in the hospital context and implements them efficiently and with practical relevance. Core topics are Patient Reported Outcome Measure (PROMs), remote monitoring, integrated care and related technologies as well as empowerment of patients and staff. Our ...
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Data and Team Sports
The project will assess the feasibility of automatic quantification of two very important aspects of a team game: fatigue, and quality of decision making. If successful, we intend to develop the idea further by creating a well-coordinated consortium of academics and companies in Switzerland and create a cutting edge ...
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Digital Physio: prescriptive rehabilitation for pediatric patients with cerebral palsy
This project aims at creating a machine learning-based tool for predicting success in functionalmobility treatment with Lokomat device for children with cerebral palsy (CP).
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Compensation Study Universities of Applied Sciences Switzerland 2023
Every two years, FH SCHWEIZ conducts a cross-sectional and longitudinal study in all national languages (G, F, I) among its members and graduates of universities of applied sciences on the topic of salary and its influencing factors, as well as other supplementary key topics. The data collection is designed as a ...
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Modeling of multicentric and dynamic stroke health data
The aim of the project is the further development of probabilistic and dynamic modeling of diseases in the form of Bayesian networks in the field of digital health as a central strategic pillar of the newly formed specialist group "Medical Image Analysis and Data Modeling" of the "Computational Health" focus. To ...
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Sustainable nutrition
The aim of this project is an interface between a database of protein-rich foods (DaPro), the Food Chain Model (FCM) and the Menu Sustainability Index (MNI) (for more details, please see the Further Information section below). The interface creates synergies between the three tools by, on the one hand, avoiding ...
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AI for colorectal cancer: towards the improved CMS classification and interpretability
Access to large complex biomedical data today allows scientists to take full advantage of AI-driven approaches in a variety of applications with high societal impact. One such application is precision medicine, which is gradually becoming reality for some cancers. Unfortunately, for colorectal cancer (CRC) ...
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Investor and Stakeholder Tools for Tracking Companies’ Climate Commitments, Greenwashing and ESG Trends
In this project, we are developing science-based methods to systematically identify potential greenwashing in corporate communications as well as signals of green innovations and technologies. By applying advanced AI methods to thousands of stocks, we aim to develop novel, ESG-compliant financial products. ...