Modeling the Ecosystem in Cancer with Agent-based Modeling

Multiscale modeling provides us with powerful tools to study various aspects of cancer. For instance, agent-based models (ABMs) allow us to use data at various scales (ie: molecular and cellular) to make predictions at a different scale (ie: tissue). Here I will introduce a variety of ABMs which we have developed to capture the tumor and the ecosystem it inhabits with the goal of understanding how cancers grow, change, take advantage of their environment and, eventually adapt and evolve resistance to cancer treatments. For more information visit: https://labpages.moffitt.org/andersona/basanta.html *Contents* 00:00 - Introduction 04:01 - Presentation: Modeling the Ecosystem in Cancer with Agent-based Modeling 54:00 - Questions For slides for this video visit: https://docs.google.com/presentation/d/1cQodxeuZxLxc-JMPKBc-cHkSvchhEfk1/edit?usp=sharing&ouid=105981546878895367801&rtpof=true&sd=true Moderator: James Sluka, PhD, Indiana University, Bloomington If you found this video useful, please check out our other videos on computational modeling, infection and immunology: https://youtube.com/playlist?list=PLiEtieOeWbMKh9VcQoinSwODcSZKMTGat Please consider joining our IMAG/MSM WG on Multiscale Modeling and Viral Pandemics: https://www.imagwiki.nibib.nih.gov/content/msm-viral-pandemics-meetings Please also consider joining the Global Alliance for Immune Prediction and Intervention: http://glimprint.org/