Challenges and Opportunities for Translational Research: The Power of Data Integration With increased regulatory burden and high expectations from prescribers and patients, it is no longer cost- nor time-effective to tackle all open questions experimentally. As a result, an increasing number of decisions is informed by modeling and simulation approaches, which integrate all available knowledge
Estimating the Long-term Behavior of Biologically Inspired Agent-based Models An agent-based model (ABM) is a computational model in which the local interactions of autonomous agents with each other and with their environment give rise to global properties within a given domain. The use of ABMs in biology has become widespread over the last few years
Tumor Composition and the Host Environment on Cancer Treatment Strategies The one-size-fits-all approach is not effective at treating cancer and tumor heterogeneity plays an important role in patient response. Current dogma characterizes tumor heterogeneity resulting from compounding genetic and epigenetic changes and instability, ultimately driving unfavorable outcomes for these patients. However, some cancers, including many
