Health Research Hub
Scientific exchange and collaboration are key to successful research.
With the newly founded Health Research Hub, we establish and promote interdisciplinary research in the field of health. Embedded within the department of life sciences and facility management (LSFM) and driven by researchers from each institute, the Health Research Hub
- connects different research groups within ZHAW
- stimulates their cooperation
- and creates a network around health-related research.
The Health Research Hub promotes synergies by structuring health-related research and by supporting collaborative projects. Joining forces across institutes encourages thinking across borders and advances innovative health-related research, while being cost-efficient at the same time.
Constantly rising costs in the healthcare sector require economic action without compromising the quality of care. In this project, extensive data collected from various hospitals is examined. The resulting models in the form of Bayesian networks will allow conclusions about hidden relationships and contribute to productivity and sustainability in health institutions.
Literature Based Discovery (LBD) has become widespread, but little has been done to automate it in the field of Natural Product Drug Discovery. The goal of this project is to devise an automated LBD system for natural product drugs for new discoveries, but also to query and explore present knowledge.
Bacteriophages are bacterial viruses that are attracting increasing attention worldwide as a promising alternative to conventional antibiotics. The goal of this project is to genetically engineer bacteriophages for a better control of pathogenic Escherichia coli (E. coli) and to further develop large-scale phage production technologies.
Ticks are currently on the rise and transmit several infectious diseases. A team of ZHAW experts in geographical information systems, artificial intelligence, data science and in tick biology develop a spacio-temporal tick risk model to help reducing the risk of tick-borne diseases.
Dramatic worldwide increase in antibiotic resistance to human pathogens is of great concern. Bacteriophages selectively kill bacteria and present an alternative to antibiotics. An expert team at ZHAW investigates interactions between bacteriophages and bacteria on a molecular level.
Food safety has become a major challenge within crops in recent years: an estimated 25% of all global crops are affected by moulds. This project aims at developing solutions to reduce mycotoxins in grain through the application of functional microorganisms and / or tailored enzymes.
Silent pathway awakening to discover novel antibacterial compounds from actinomycetes
There is a tremendous need for novel antibiotics due to the global resistance crisis. Actinomycetes are the most important sources of secondary metabolites. They provide an enormous potential to discover novel antibiotics. Actinobacteria remain an underexploited reservoir of interesting products, especially ...
Engineered bacteriophages for the control of E. coli O157
Bacteriophages (phages) represent a very promising alternative to antibiotics to combat infections caused by Shiga Toxin producing E. coli O157. In this research project, two different O157-specific bacteriophages will be genetically engineered to effectively control E. coli O157. In addition, a scalable setup for ...
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 ...
InnoBUN - Development and application of a multifunctional sourdough in buns
BREADMOD – Set-up of a Collection of bakery relevant moulds
In this project, ca. 300 moulds will be isolated in the bakery environment (air, bread) and identified aming at representative strains for screening and challenge test. The selected fungal strains will support selecting antifungal protective cultures with specific and broad spectrum of activity agains moulds from ...
Herter-Aeberli, Isabelle; Wehrli, Nina; Bärlocher, Kurt; Andersson, Maria; Sych, Janice Marie ,
Available from : https://doi.org/10.3390/nu12123729
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from : https://doi.org/10.21256/zhaw-21153
European Journal of Nutrition.
Available from : https://doi.org/10.1007/s00394-020-02399-7
Public Health Nutrition.
Available from : https://doi.org/10.1017/S1368980020003079
Schilling, Frank-Peter; Stadelmann, Thilo, eds. ,
Artificial Neural Networks in Pattern Recognition.
9th IAPR TC 3 Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR'20), Winterthur, Switzerland, 2-4 September 2020.
Lecture Notes in Computer Science ; 12294.
Available from : https://doi.org/10.1007/978-3-030-58309-5_16
The Health Research Hub is driven by a scientific committee and supported by a programme manager: