T.J. Sego

Assistant Professor

University of Florida

United States

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T.J. Sego is an Assistant Professor at the University of Florida. His research focuses on multiscale modeling of biological systems, particularly in the context of viral infections and immune responses. Recent articles highlight his work on collective cell migration, interactive simulation environments, and the dynamics of co-infection and immune system aging. He is dedicated to advancing computational methods in biological applications.

Articles (18)

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2024

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2023

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2023

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2022

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2022

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2021

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2020

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2020

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2020

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2020

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2020

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2020

Collaborators (11)

Anna Niarakis

Full Professor

Université Toulouse III - Paul Sabatier

FRANCE

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Morgan Craig

Université de Montréal

CANADA

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Gary An

Professor

University of Vermont

UNITED STATES

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Jason Shoemaker

University of Pittsburgh

UNITED STATES

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Yung-Ting Hsu

Clinical Assistant Professor

University of Washington

UNITED STATES

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James Alexander Glazier

Professor

Indiana State University

UNITED STATES

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Douglas DeSimone

Professor and Chair

University of Virginia

UNITED STATES

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Reinhard Laubenbacher

University of Florida

UNITED STATES

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Ericka Mochan

Carlow University

UNITED STATES

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Lynda F Bonewald

UNITED STATES

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Andres Tovar

Indiana University-Purdue University Indianapolis

UNITED STATES

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T.J. Sego

Research Interests

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Articles (18)

Modeling the roles of cohesotaxis, cell-intercalation, and tissue geometry in collective cell migration of Xenopus mesendoderm

SimService: a lightweight library for building simulation services in Python

General, open-source vertex modeling in biological applications using Tissue Forge

Mathematical Modeling of the Lethal Synergism of Coinfecting Pathogens in Respiratory Viral Infections: A Review

Tissue Forge: Interactive biological and biophysics simulation environment

Building digital twins of the human immune system: toward a roadmap

A multiscale multicellular spatiotemporal model of local influenza infection and immune response

Multiscale Model of Antiviral Timing, Potency, and Heterogeneity Effects on an Epithelial Tissue Patch Infected by SARS-CoV-2

Age-Related Changes to the Immune System Exacerbate the Inflammatory Response to Pandemic H1N1 Infection

Multicellular spatial model of RNA virus replication and interferon responses reveals factors controlling plaque growth dynamics

Generation of multicellular spatiotemporal models of population dynamics from ordinary differential equations, with applications in viral infection

Compartmental Model Suggests Importance of Innate Immune Response to COVID-19 Infection in Rhesus Macaques

Modeling Progressive Damage Accumulation in Bone Remodeling Explains the Thermodynamic Basis of Bone Resorption by Overloading.

A modular framework for multiscale, multicellular, spatiotemporal modeling of acute primary viral infection and immune response in epithelial tissues and its application to drug therapy timing and effectiveness

Unification of aggregate growth models by emergence from cellular and intracellular mechanisms

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Unification of aggregate growth models by emergence from cellular and intracellular mechanisms: Unification of Aggregate Growth Models

Computational fluid dynamic analysis of bioprinted self‐supporting perfused tissue models

Collaborators (11)

Anna Niarakis

Morgan Craig

Gary An

Jason Shoemaker

Yung-Ting Hsu

James Alexander Glazier

Douglas DeSimone

Reinhard Laubenbacher

Ericka Mochan

Lynda F Bonewald

Andres Tovar

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