Health Research Hub
Scientific exchange and collaboration are key to successful research.
The strategic initiative Health Research Hub is driven by researchers of the ZHAW School of Life Sciences and Facility Management (LSFM) to support interdisciplinary research in the field of health and increase its visibility.
Health Research Hub connects different research groups with the ZHAW, supports their collaboration and develops an institutional network around health-related research. The initiative focuses on identifying synergies between the various research groups to unveil yet untapped potential within the school. For this purpose, new interdisciplinary teams have been formed which have proposed novel directions in health-related research based on the combined strengths of the contributing researchers.
The Health Research Hub promotes synergies by structuring health-related research and by supporting collaborative projects.
Seven synergistic projects have received support, addressing current topics in health-related research.
Bayes network analysis for data-driven decision support in healthcare
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.
Computational literature-based natural product drug discovery
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.
Engineered bacteriophages for the control of E. coli O157
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.
Fighting bites with bytes - promoting public health with crowdsourced tick prevention
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.
Molecular mechanism of bacteriophage tail spike proteins in bacterial infection
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.
Silent pathway awakening to discover novel antibacterial compounds from actinomycetes
Many disease-causing bacteria are currently developing antibiotic resistance. This is a serious threat to human health. New antibiotics are therefore urgently needed. A project team of ZHAW and ETH is taking up this challenge.
Strategies to reduce mycotoxins in grain side product streams enabling their reintroduction into the food value chain
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.
Schmitter, Paul; Kirecci, Ilyas; Gatziu Grivas, Stella; Hanne, Thomas; Beck, Chantal,
Transformation Compass für nicht-medizinische Supportprozesse (DE).
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-27958
Arend, Lavinia N.V.S.; Bergamo, Ricardo; Rocha, Fabiano B.; Bail, Larissa; Ito, Carmen; Baura, Valter A.; Balsanelli, Eduardo; Pothier, Joël F.; Rezzonico, Fabio; Pilonetto, Marcelo; Smits, Theo H.M.; Tuon, Felipe Francisco,
Dissemination of NDM-producing bacteria in Southern Brazil.
Diagnostic Microbiology and Infectious Disease.
106(2), pp. 115930.
Available from: https://doi.org/10.1016/j.diagmicrobio.2023.115930
Pothier, Joël F.; Bolt, Valentin; Arn, Fabienne; Frasson, David; Rhyner, Nicola; Sievers, Martin,
High-quality draft genome sequence of Streptomyces albidoflavus CCOS 2040, isolated from a Swiss soil sample.
Microbiology Resource Announcements.
12(3), pp. e01225-22.
Available from: https://doi.org/10.1128/mra.01225-22
Gygax, Gregory; Ratnaweera, Nils; Tischhauser, Werner; Smits, Theo H. M.; Laube, Patrick; Ott, Thomas,
An oracle for the optimization of underconstrained compositions of neural networks : the tick hazard use case [paper].
Schneider, Johannes Josef; Weyland, Mathias Sebastian; Flumini, Dandolo; Füchslin, Rudolf Marcel, eds.,
Artificial Life and Evolutionary Computation.
XV International Workshop on Artificial Life and Evolutionary Computation (WIVACE), Winterthur, Switzerland, 15-17 September 2021.
Communications in Computer and Information Science ; 1722.
Available from: https://doi.org/10.1007/978-3-031-23929-8_3
Schmitter, Paul; Ashworth, Simon,
Digitally transforming facility management in healthcare : a systematic review of key digital technologies and systems [paper].
IOP Conference Series: Earth and Environmental Science.
CIB W070 Conference on Facility Management and Maintenance 2023, Trondheim, Norway, 8-11 May 2023.
Available from: https://doi.org/10.1088/1755-1315/1176/1/012012
The Health Research Hub is driven by a scientific committee and supported by a programme manager:
No contact details available.