Nanoparticles for cancer applications are increasingly able to move, sense, and interact the body in a controlled fashion. The challenge is to discover how trillions of nanoparticles can work together to improve the detection and treatment of tumors.
Towards this end, the field of swarm engineering offers tools and techniques for controlling large numbers of agents with limited capabilities. Our swarm strategies are designed in realistic simulators using bio-inspiration, machine learning, and crowdsourcing (NanoDoc: http://nanodoc.org). Strategies are then translated into thousand-robot swarms or preliminary tissue-on-a-chip devices.