Projects

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4 Projects found

MESI-STRAT: Systems Medicine of Metabolic-Signaling Networks -A New Concept for Breast Cancer Patient Stratification. Breast cancer is a complex disease with high prevalence in the European Union and world-wide. 75%-80 of the patients have estrogen receptor-positive (ER)-positive tumors and are treated with endocrine therapies. Endocrine therapies, which block ER-driven tumor growth, show high efficacy. Yet, a significant proportion of the patients will eventually relapse with metastatic breast ...

Programme: This Project is not associated with a Programme

Public web page: http://www.mesi-strat.eu

PoLiMeR is funded through the EU Marie Skłodowska-Curie Innovative Training Network (ITN), which drives scientific excellence and innovation. ITNs bring together universities, research institutes, industry and clinical partners from across the world to train researchers to doctorate level.

Metabolic diseases are a burden on the European population and health care system. It is increasingly recognised that individual differences with respect to history, lifestyle, and genetic make-up affect disease ...

Programme: This Project is not associated with a Programme

Public web page: http://polimer-itn.eu/

The SilicoTryp project aims at the creation of a “Silicon Trypanosome”, a comprehensive, experiment-based, multi-scale mathematical model of trypanosome physiology. Trypanosomes are blood-stream parasites transmitted by tsetse flies; they cause African sleeping sickness in humans and livestock. Currently available drugs have severe side effects, and the parasites are rapidly developing resistance. In this project, we collect a wide range of new experimental data on the parasite in its various ...

Short-chain fatty-acids (SCFA) are produced from dietary fibres by the intestinal microbiota. They protect humans against obesity. The fate of SCFA and their impact on human fat metabolism is complex and dynamic. To optimally apply prebiotic (fibre) and probiotic (microbial) supplements, a better understanding of their mode of action is required. Our aim is to construct, infer, and analyse a dynamic, multiscale computational model predicting how dietary fibres affect the balance between fat intake ...

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