Publications and projects according to DDC
Publications
Publications and projects according to DDC 571: Physiology and related subjects
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Pietsch-Schmied, Constanze,
2018.
Bisher unbekannte Mycotoxine – welche Gefahr geht von ihnen aus?.
In:
EAFP Conference of the German-speaking Branches, Fribourg, 5. Oktober 2018.
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Tschirren, Linda; Pietsch-Schmied, Constanze,
2018.
Comparing the sensitivity of different fish species to optimize the assessment of mycotoxin toxicity [poster].
In:
Meeting of the World Aquaculture Society, Montpellier, France, 25-29 August 2018.
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Pietsch-Schmied, Constanze,
2018.
Fish feeds – how much mycotoxin contamination can be assumed?.
In:
Mycotoxin Workshop, Munich, Germany, 10-12 June 2018.
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Badowski, Cedric; Iskander, Aneesa; Gaspar, Diana; Zeugolis, Dimitrios I.; Raghunath, Michael,
2018.
Molecular Crowding – (in Cell Culture)
.
In:
Tissue engineering and regeneration : cell engineering and regeneration.
Springer.
Reference Series in Biomedical Engineering.
Available from: https://doi.org/10.1007/978-3-319-37076-7_50-1
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Sorushanova, Anna; Delgado, Luis M.; Wu, Zhuning; Shologu, Naledi; Kshirsagar, Aniket; Raghunath, Rufus; Mullen, Anne M.; Bayon, Yves; Pandit, Abhay; Raghunath, Michael; Zeugolis, Dimitrios I.,
2018.
The collagen suprafamily : from biosynthesis to advanced biomaterial development.
Advanced Materials.
Available from: https://doi.org/10.1002/adma.201801651
Projects
Projects according to DDC 571: Physiology and related subjects
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SpectralPad
SpectralPad offers an easy-to-use, accurate and cost-efficient way to diagnose and monitor yellow skin diseases for more than 1 billion patients world wide.
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Cost and Benefits of Physiotherapy
The project explores the rising utilization of physiotherapy services under basic health insurance, pinpointing the factors driving this increase. It will scrutinize the demographics and treatment timelines of patients resorting to physiotherapy. The objective is to discern where the expansion of physiotherapy ...
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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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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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Mobile Inclusion Lab
We create a Real-Lab (Mobile Inclusion Lab, “MobILe”) that enables experimental development of sustainable rehabilitation and assistive (R&A) technologies for people with disabilities. By providing a toolkit (hardware and software, e.g., 3D-printing, sensors, motors, human-computer interfaces) with teaching and ...