Philipp M. Altrock

This study develops an evolutionary game theory model to analyze how persister cells influence cancer dynamics under treatment, showing they can stabilize or destabilize tumors based on transition rates and competition.

The paper develops a mathematical model and Bayesian framework to evaluate CAR T-cell efficacy against AML, revealing antigen-specific resistance mechanisms.

This study shows that stromal niches protect lung cancers from ALK inhibitors through multiple mechanisms, and targeting these mechanisms together is more effective than targeting them individually.

This study shows that explicitly modeling immune cell-cancer cell conjugates in mathematical models changes the time scale and outcomes of tumor control dynamics.

The paper uses simplified models to show that loss of cell-cell cohesion in LCIS cells leads to lobular localization, linking cohesion to spatial patterns in breast cancer.

The paper investigates how nutrient limitations affect invasion in cancer populations, showing that phenotypic imbalance accelerates invasion while balance decelerates it.

This paper investigates how tumor stromal architecture influences therapy response and resistance in lung, breast, and kidney cancers using mathematical models, experimental studies, and clinical analysis.

The paper studies extinction dynamics in spatially structured populations of producers and free-riders in a public good game, finding that spatial structure does not affect extinction time in well-mixed systems but can influence it in segregated populations.

The paper studies how neighborhood size and nonlinear public goods effects influence evolutionary dynamics in populations of cooperators and defectors.