Jacob G Scott

Cancer treatment scheduling and dynamic heterogeneity in social dilemmas of tumour acidity and vasculature

This paper uses evolutionary game theory to model tumour heterogeneity in glycolysis, angiogenesis, and oxygen availability, showing dynamic regimes and the importance of treatment timing.

Estimating stem cell fractions in hierarchically organized tumors

The paper develops a mathematical model to estimate cancer stem cell fractions in tumors using tumor size measurements and linear regression, without requiring detailed microscopic data.

Spatial metrics of tumour vascular organisation predict radiation efficacy in a computational model

This paper uses a computational model to show that spatial organization of blood vessels in tumors affects radiation response, with varying correlations depending on vessel density.

Exploiting evolutionary non-commutativity to prevent the emergence of bacterial antibiotic resistance

This paper develops a Markov Chain model to analyze antibiotic resistance emergence in E. coli and shows that drug sequencing can probabilistically steer populations away from resistance.

Passenger DNA alterations reduce cancer fitness in cell culture and mouse models

This study shows that increasing passenger DNA alterations in cancer cells reduces their fitness, slows tumor growth, and may serve as a biomarker for tumor aggressiveness and therapy response.

Edge effects in game theoretic dynamics of spatially structured tumours

This paper shows spatial structure in tumor models can promote invasive cell strategies at tumor edges, using a game-theoretic approach to analyze metastatic potential.

A filter-flow perspective of hematogenous metastasis offers a non-genetic paradigm for personalized cancer therapy

This paper proposes a physical network model of CTC flow to predict metastatic patterns and improve staging of oligometastatic disease.