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Reinhard Laubenbacher - University of Florida. Gainesville, FL, US

Reinhard Laubenbacher Reinhard Laubenbacher

Professor | University of Florida

Gainesville, FL, UNITED STATES

Reinhard Laubenbacher's research is in computational and mathematical systems biology, with applications to human health.

Biography

Reinhard Laubenbacher is a professor in the Department of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine. Reinhard is also the Laboratory for Systems Medicine. Reinhard is a mathematician by training, and his broad research interests lie in computational and mathematical systems biology, with applications to human health. Most of his research is in collaboration with a broad spectrum of scientists and clinicians.

Areas of Expertise (5)

Systems Biology

Data Science

Systems Medicine

Mathematical and Computational Modeling

Computational Immunology

Articles (4)

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

Nature Portfolio Journal

R. Laubenbacher, et. al

2022-05-20

Digital twins, customized simulation models pioneered in industry, are beginning to be deployed in medicine and healthcare, with some major successes, for instance in cardiovascular diagnostics and in insulin pump control. Personalized computational models are also assisting in applications ranging from drug development to treatment optimization. More advanced medical digital twins will be essential to making precision medicine a reality.

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Multi-scale mechanistic modelling of the host defence in invasive aspergillosis reveals leucocyte activation and iron acquisition as drivers of infection outcome

Journal of the Royal Society Interface

Henrique Ribeiro, et. al

2022-04-13

Aspergillus species are ubiquitous environmental moulds, with spores inhaled daily by most humans. Immunocompromised hosts can develop an invasive infection resulting in high mortality. There is, therefore, a pressing need for host-centric therapeutics for this infection. To address it, we created a multi-scale computational model of the infection, focused on its interaction with the innate immune system and iron, a critical nutrient for the pathogen.

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Aspergillus Utilizes Extracellular Heme as an Iron Source During Invasive Pneumonia, Driving Infection Severity

The Journal of Infectious Diseases

Kathryn Michels, et al.

2022-03-10

Depriving microbes of iron is critical to host defense. Hemeproteins, the largest source of iron within vertebrates, are abundant in infected tissues in aspergillosis due to hemorrhage, but Aspergillus species have been thought to lack heme import mechanisms. We hypothesized that heme provides iron to Aspergillus during invasive pneumonia, thereby worsening the outcomes of the infection.

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Computational models in systems biology: standards, dissemination, and best practices

Current Opinion in Biotechnology

Luis Sordo Vieira, et. al

2022-02-23

Mathematical and computational models are a key technology in systems biology. Progress in the field depends on the replicability and reproducibility of their properties and behavior. For this, an essential requirement is a set of clear standards for model specification and dissemination. This review covers existing standards, and it highlights the most important areas where further work is required.

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Languages (1)

  • English