
In the models considered so far, the focus was on the cancerous cells progressing from mathematical models for homogeneous tumor populations of chemotherapeutically sensitive cells to heterogeneous structures of cell populations with varying sensitivities or even resistance. From an optimal control point of view, optimal treatment schedules change from bang-bang solutions with upfront dosing (that correspond to classical MTD approaches in medicine) to administrations that also include singular controls (which correspond to time-varying dosing schedules at less than maximum rates) as heterogeneity of the tumor population becomes more prevalent. In this chapter, we begin to analyze mathematical models that also take into account a tumor’s microenvironment.
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
