  We present the EVONANO platform for the evolution of nanomedicines with
application to anti-cancer treatments. EVONANO includes a simulator to grow
tumours, extract representative scenarios, and then simulate nanoparticle
transport through these scenarios to predict nanoparticle distribution. The
nanoparticle designs are optimised using machine learning to efficiently find
the most effective anti-cancer treatments. We demonstrate our platform with two
examples optimising the properties of nanoparticles and treatment to
selectively kill cancer cells over a range of tumour environments.
