TRANSCENDO

The Computational Translation from Model Organisms to Humans (TRANSCENDO) of the Statistical Machine Learning and Bioinformatics group is a project funded by TEKES MASI program, under the Algorithmic Data Analysis research programme, in collaboration with VTT Biotechnology, VTT Information Technology and University of Turku.

The overall objective of the TRANSCENDO is to build a comprehensive modelling and biosimulation framework for studying human pathophysiology in silico, with the initial focus area of Diabetes. We aim to combine a variety of mathematical modelling approaches for these tasks, including semantic and probabilistic modelling, and biosimulation.

We will apply our methodology to practical problems of direct relevance to drug discovery. The results and deliverables of TRANSCENDO project are directly applicable to drug discovery, nutrition, healthcare, and bioinformatics domains. Given our approach uniquely combines several levels of modelling (semantic, probabilistic, and biosimulation), we expect our approach will result in novel solutions for modelling complex systems and phenomena.

For more information including publications see project page at VTT.