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Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models., , , and . Simul., (2021)Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis., , , , , , and . CoRR, (2018)High-throughput cancer hypothesis testing with an integrated PhysiCell-EMEWS workflow., , , , , , , , , and . BMC Bioinform., 19-S (18): 81-97 (2018)Translational Systems Biology of Inflammation., , , , and . PLoS Comput. Biol., (2008)A hybrid simulation model for studying acute inflammatory response., , and . SpringSim (2), page 39-46. SCS/ACM, (2007)Examining the dynamics of epithelial metaplasia and pouchitis in an ileal pouch with a spatially-explicit computational multi-scale gut model (MSGM)., , , , and . SpringSim (ADS), page 4. SCS/ACM, (2013)Examining B-cell dynamics and responsiveness in different inflammatory milieus using an agent-based model., , and . PLoS Comput. Biol., (January 2024)Generating synthetic multi-dimensional molecular-mediator time series data for artificial intelligence-based disease trajectory forecasting and drug development digital twins: Considerations., and . CoRR, (2023)Data-parallel techniques for simulating a mega-scale agent-based model of systemic inflammatory response syndrome on graphics processing units., , , and . Simulation, 88 (8): 895-907 (2012)SPARK: a framework for multi-scale agent-based biomedical modeling., , , , , , , and . SpringSim, page 3. SCS/ACM, (2010)