Projects
Institute of Computational Life Sciences
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Data-driven decision support for intracranial aneurysms and hospital catering using Bayesian networks
Clinical decisions in medicine and management decisions in facility management are regularly made on the basis of little evidence or extrapolations and are also influenced by subjective and economic aspects. While data is generated exponentially in medicine due to increasing digitization, there is no framework for ...
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Softscope
Imaging techniques (photography, microscopy, tomography, etc.) have long since become indispensable in the life sciences. A manual evaluation of the images is still difficult to reproduce, due to the large number of high-resolution images, it is practically impossible to do so in time and is rarely statistically ...
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Ecological Engineering Living Lab
In Ecological Engineering, the processes in nature serve as a model for developing new technologies. As in a natural ecosystem, where nutrients and water circulate, the researchers at ZHAW are developing closed-loop systems that function according to the same principle. The aim is to save resources and minimize the ...
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Food Waste Indicators and Data Monitoring Concept
The Sustainable Development Goals require halving food waste by 2030. The goal of this project is to develop indicators and a data monitoring concept for food waste in Switzerland. The goal is to measure food waste amounts annd environmental impacts periodically in order to evaluate if the reduction target is being ...
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PiaBreed: Machine Learning for automated ovulation and birth monitoring in horses
The project comprises the tasks of a comprehensive data collection (Piavita/ University of Bern) and the development of a mobile, non-invasive system (Piavita/ZHAW) for veterinarians and breeders. The goal is to collect important vital data and to develop a new algorithm scheme with which - ovulation in mares can ...
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Using data analysis techniques for the interpretation of stable isotope labelling incorporation from real-time PTR-ToF-MS data
Proton transfer reaction-time of flight-mass spectrometry (PTR-ToF-MS) technology gives real time high resolution data of processes and reactions. While trends can be determined with the data the mechanistic pathway of the reactions cannot be conclusively determined. The most powerful way of elucidating these ...
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Sensor for a wearable device for early detection of symptoms of possible neurodegenerative diseases
We propose to develop and implement a sensor for a wearable device with the functionality of early detection of symptoms associated with the following neurodegenerative diseases: Alzheimer's Disease (AD) and Parkinson's Disease (PD). Specifically, we focus on the detection and quantification of symptoms associated ...
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Data mining in neurological medicine
Restless legs syndrome (RLS, Willis-Ekbom disease) is a neurological movement disorder characterised by motor and sensory symptoms, such as the uncontrollable need to move the legs (and sometimes also the arms). Such need is associated with an unpleasant and disturbing sensation in the lower limbs that typically ...
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Simulation of pedestrian and traffic flows
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Computational literature-based natural product drug discovery
Natural products such as medicinal plants and extract mixtures have successfully supported the discovery of pharmaceuticals. Medically relevant products and their properties are often found through systematic analysis of the literature. In 1980s Swanson found hidden links between pieces of knowledge in the ...
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Digital simulation for the tailored production of 3D nanofiber filters and their integration in a full protective suit for pandemic cases
We intend the tailored fabrication of 3D nanofiber aerogel (NFA) particle filters and their integration in a full protective suite with blower device for the health market. Digital simulation of the particle nanofiber interaction is used to predict the best microscopic filter geometry.
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Fighting bites with bytes: Promoting public health with crowdsourced tick prevention
Ticks are on the rise and transmit several infectious diseases, leading to serious illness or even death. The smartphone App “Zecke–Tick Prevention helps people, to remember the tick bite location and to check it for potential Lyme disease symptoms. In an interdisciplinary approach, ZHAW-scientists want to find out ...
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Sustainable Food Chain Model
The value of the food wasted today as food waste in retail and the food industry in Switzerland can be estimated at over 1 billion francs and pollutes the environment with around 10 trillion ecopoints, which corresponds to half of motorized private transport. The federal government is currently developing an action ...
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Fine motor skills in school-aged Children with ADHD: A case-control study using digital pens (FAST)
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REFRACT – Repeat protein Function, Refinement, Annotation and Classification of Topologies
REFRACT is an international consortium aiming to extend our knowledge on the mechanism of tandem repeat protein (TRP) function and evolution, establishing a common classification and best practices. Starting from available state of the art computational tools and databases, it aims to drive a new level of TRP ...
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The effect of programmed ribosomal frameshifting on codon usage bias
The discovery of synonymous codon usage bias (CUB) –the unequal use of codons that code for the same amino-acid– has strengthened the notion that synonymous mutations can alter the fitness of organisms. Synonymous or silent mutations are mutations in DNA that do not alter the encoded amino acid sequence. Since CUB ...
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Digitisation in the outdoor facilities of Campus Grüental
Thanks to a native app, the learning opportunities offered by plant knowledge on the Grüental campus are to be optimised, made more attractive and expanded further.The app should be user-friendly and contain at least the following functions: Finding plants or leading intelligent activities on site Filter by ...
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An integrated modelling and learning framework for real-time online decision assistance in Swiss agriculture
We are developing an agricultural risk decision assistant based on a unique model that can assess and visualize reliable weather and seasonal climate forecasts, soil data, and crop growth forecasts. Based on real-time and historical weather, climate, soil and crop data and novel learning algorithms, the system ...
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Smartstones - AI for plant breeding
Goal of the project is a feasibility study to evaluate the potential of diverse AI techniques for opimising plant breeding on the basis of morphological characteristics.
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3D chemistry - platform and app for classroom use and teaching - digitalization
Three-dimensional imagination is highly relevant for understanding the fundamentals of chemistry at university level. Especially when drawing molecular structures, it is important that students are able to imagine molecules/salts with the right geometry, so that the correct functioning in ...