Data science

We can bring knowledge from different sources together, building complex multilevel datasets which can be exploited in various ways. These can be used to identify predictive biomarkers for a given outcome or inform development of relevant networks that may infer such outcomes. We can further refine and validate these through machine learing or differential equations.

We can embed these networks in computational models which enable the exploration of underlying molecular mechanisms, creating a knowledge-based decision support system. These offer potenital for in silico experimentation, considerably reducing the costs of research and increasing the robustness of outputs.