The Society for Mathematical Biology (SMB) held its annual meeting in Edmonton, where Xiaojun presented on methods for model discovery from noisy biological data (read the paper),
and Adam presented on our recent cancer systems immunology work leading to the discovery of mechanisms driving response to combination therapy (read the preprint) plus new work inferring patient- and site-specific tumor-immune dynamics to inform clinical decision making from RECIST data. Thanks to the hosts, the SMB community is strong!