Daniel Bergman

Johns Hopkins University

United States

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Articles (12)

Year:

2025

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2025

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2025

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2024

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2024

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2023

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2022

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2022

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2022

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2021

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2021

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2020

Collaborators (4)

Scott Atwood

Associate Professor

University of California, Irvine

UNITED STATES

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Paul Macklin

Professor

Indiana University Bloomington

UNITED STATES

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Alexander Girgis

Johns Hopkins University

UNITED STATES

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Min Yu

UNITED STATES

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Daniel Bergman

Research Interests

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Articles (12)

An efficient and flexible framework for inferring global sensitivity of agent-based model parameters

Neoadjuvant immunotherapy promotes the formation of mature tertiary lymphoid structures in a remodeled pancreatic tumor microenvironment

Virtual cells for predictive immunotherapy

Agent-Based Modeling of Virtual Tumors Reveals the Critical Influence of Microenvironmental Complexity on Immunotherapy Efficacy

PhysiCell Studio: a graphical tool to make agent-based modeling more accessible

Phenotype switching in a global method for agent-based models of biological tissue

Implementing a global approach for efficiently simulating molecular dynamics in agent-based models of biological tissue

PhysiPKPD: A pharmacokinetics and pharmacodynamics module for PhysiCell

A global method for fast simulations of molecular dynamics in multiscale agent-based models of biological tissues

A validated mathematical model of FGFR3‐mediated tumor growth reveals pathways to harness the benefits of combination targeted therapy and immunotherapy in bladder cancer

Modeling the effects of EMT-immune dynamics on carcinoma disease progression

Divergent Resistance Mechanisms to Immunotherapy Explain Responses in Different Skin Cancers

Collaborators (4)

Scott Atwood

Paul Macklin

Alexander Girgis

Min Yu

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