Immunology must be the most complex science of all: myriads of molecules in highly complex networks. This session demonstrates how the new ‘deep (i.e. modelling assisted) thinking’ may help integrate the big data into understanding, of health and disease.
Sunday, September 2, 2018; 16:30-17:45
Chairpersons: Petter Brodin, Sweden & Matteo Barberis, The Netherlands
Yang Li, The Netherlands
Big Data in Immunology: How to make the most of it
Thomas Höfer, Germany
The Complexity of Immunology: Do T Cells throw dice?
Hans Westerhoff, The Netherlands
Systems Immunology: Making sense of the Yins and Yangs