Examining the controllability of sepsis using genetic algorithms on an agent-based model of systemic inflammation

RC Cockrell, G An - PLoS computational biology, 2018 - journals.plos.org
Sepsis, a manifestation of the body's inflammatory response to injury and infection, has a
mortality rate of between 28%-50% and affects approximately 1 million patients annually in …

Precision medicine as a control problem: Using simulation and deep reinforcement learning to discover adaptive, personalized multi-cytokine therapy for sepsis

BK Petersen, J Yang, WS Grathwohl, C Cockrell… - arXiv preprint arXiv …, 2018 - arxiv.org
Sepsis is a life-threatening condition affecting one million people per year in the US in which
dysregulation of the body's own immune system causes damage to its tissues, resulting in a …

Systems approaches to dissecting immunity

A Diercks, A Aderem - Systems Biology, 2012 - Springer
Abstract Systems biology is the comprehensive and quantitative analysis of the interactions
between all of the components of biological systems over time. Cells of the innate immune …

The use of artificial neural networks to forecast the behavior of agent-based models of pathophysiology: an example utilizing an agent-based model of sepsis

D Larie, G An, RC Cockrell - Frontiers in Physiology, 2021 - frontiersin.org
Introduction: Disease states are being characterized at finer and finer levels of resolution via
biomarker or gene expression profiles, while at the same time. Machine learning (ML) is …

Utilizing the heterogeneity of clinical data for model refinement and rule discovery through the application of genetic algorithms to calibrate a high-dimensional agent …

C Cockrell, G An - Frontiers in physiology, 2021 - frontiersin.org
Introduction: Accounting for biological heterogeneity represents one of the greatest
challenges in biomedical research. Dynamic computational and mathematical models can …

Sepsis reconsidered: Identifying novel metrics for behavioral landscape characterization with a high-performance computing implementation of an agent-based model

C Cockrell, G An - Journal of theoretical biology, 2017 - Elsevier
Objectives Sepsis affects nearly 1 million people in the United States per year, has a
mortality rate of 28–50% and requires more than $20 billion a year in hospital costs. Over a …

Third-kind encounters in biomedicine: immunology meets mathematics and informatics to become quantitative and predictive

M Eberhardt, X Lai, N Tomar, S Gupta, B Schmeck… - Systems Medicine, 2016 - Springer
The understanding of the immune response is right now at the center of biomedical
research. There are growing expectations that immune-based interventions will in the …

Inflammation and disease: modelling and modulation of the inflammatory response to alleviate critical illness

JD Day, C Cockrell, R Namas, R Zamora, G An… - Current opinion in …, 2018 - Elsevier
Critical illness, a constellation of interrelated inflammatory and physiological derangements
occurring subsequent to severe infection or injury, affects a large number of individuals in …

Translational systems biology of inflammation: potential applications to personalized medicine

Q Mi, NYK Li, C Ziraldo, A Ghuma, M Mikheev… - Personalized …, 2010 - Taylor & Francis
A central goal of industrialized nations is to provide personalized, pre-emptive and
predictive medicine, while maintaining healthcare costs at a minimum. To do so, we must …

Dynamic balance of pro‐and anti‐inflammatory signals controls disease and limits pathology

JM Cicchese, S Evans, C Hult, LR Joslyn… - Immunological …, 2018 - Wiley Online Library
Immune responses to pathogens are complex and not well understood in many diseases,
and this is especially true for infections by persistent pathogens. One mechanism that allows …