Publications and projects according to DDC
Publications
Publications and projects according to DDC 571: Physiology and related subjects
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Heller, Davide; Hoppe, Andreas; Restrepo, Simon; Gatti, Lorenzo; Tournier, Alexander L.; Tapon, Nicolas; Basler, Konrad; Mao, Yanlan,
2016.
EpiTools : an open-source image analysis toolkit for quantifying epithelial growth dynamics.
Developmental Cell.
36(1), pp. 103-116.
Available from: https://doi.org/10.1016/j.devcel.2015.12.012
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Benny, Paula; Badowski, Cedric; Lane, E. Birgitte; Raghunath, Michael,
2016.
Improving 2D and 3D skin in vitro models, using macromolecular crowding.
Journal of Visualized Experiments.
2016(114).
Available from: https://doi.org/10.3791/53642
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Pietsch-Schmied, Constanze,
2016.
Physiological costs of zearalenone (ZEN) exposure in carp (Cyprinus carpio L.).
In:
36th Mycotoxin Workshop, Berlin, Germany, 2-4 May 2016.
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Garcia, Victor; Richter, Kirsten; Graw, Frederik; Oxenius, Annette; Regoes, Roland R.,
2015.
PLOS Computational Biology.
11(5), pp. 1-13.
Available from: https://doi.org/10.1371/journal.pcbi.1004178
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Pietsch-Schmied, Constanze,
2015.
Abschätzungen zum Gesundheitsrisiko für Fische durch Mycotoxin-belastetes Fischfutter.
In:
EAFP Conference of the German-speaking Branches, Graz, Österreich, 5.-7. Oktober 2015.
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 ...