Here we built a multimodal mechanochemical model to recapitulate a complex experimental workflow, leading to the discovery of an intimate relationship between biochemical signalling and the mechanics of cell division in cancer

A core hypothesis behind our approach is to think about oligonucleotide therapeutics in terms of thermodynamics. In this paper we designed and characterised oligonucleotides and leveraged this knowledge to build machine learning algorithms.

Our seminal paper on the analysis of line-like structures in images. The original model was trained on just 100 images and is now used by hundreds of researchers around the world.