Daniel Nichol

Combining radiomics and mathematical modeling to elucidate mechanisms of resistance to immune checkpoint blockade in non-small cell lung cancer

The paper combines radiomics and mathematical modeling to identify imaging features and hypothesize resistance mechanisms in lung cancer patients to immune checkpoint blockade.

Collateral sensitivity networks reveal evolutionary instability and novel treatment strategies in ALK mutated non-small cell lung cancer.

This study shows that resistance to ALK inhibitors in lung cancer is unstable and dynamic, with collateral sensitivity to other drugs offering new treatment options.

Harnessing the lymphocyte meta-phenotype to optimize adoptive cell therapy

This paper explores using a lymphocyte meta-phenotype to improve adoptive cell therapy outcomes by integrating patient data with mathematical models.

Stochasticity in the Genotype-Phenotype Map: Implications for the Robustness and Persistence of Bet-Hedging

This paper explores the genotype-phenotype map using molecular switches to show how robustness and persistence emerge, explaining bet-hedging strategies and their implications for treatment resistance.

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.