Paul K. Newton

Generation-Establishment Tradeoffs Shape the Temporal Window of Recombinant Evolution

The paper develops a hybrid model showing that recombinant viral lineages succeed based on timing and parental population dynamics, not just fitness.

Gaming the cancer-immunity cycle by synchronizing the dose schedules

The paper introduces a mathematical model of the cancer-immunity cycle to optimize chemotherapy and immunotherapy dosing schedules by synchronizing them with the cycle's period, showing that optimized timing can improve efficacy with lower doses.

Chemotherapy dose scheduling via Q-learning in a Markov tumor model

This paper uses Q-learning in a Markov tumor model to optimize chemotherapy dose scheduling, identifying evolutionary paths, robustness, and simplified policies for balanced tumor cell coexistence.

Design of two-stage multi-drug chemotherapy schedules using replicator game dynamics

This paper designs a two-stage multi-drug chemotherapy schedule using replicator game dynamics to maintain tumor cell populations in a high-entropy coexistence state and prevent chemoresistance.

MultiCellDS: a standard and a community for sharing multicellular data

The paper introduces MultiCellDS, a standard and community-driven initiative for sharing multicellular data to enhance research in cell biology.

MultiCellDS: a community-developed standard for curating microenvironment-dependent multicellular data

The paper introduces MultiCellDS, a standard for multicellular data curation, and presents MultiCellDB as a database to store associated data, enhancing data sharing and utility in biological and clinical research.