Welcome to the Laboratory for Systems Medicine

The overarching focus is the development and application of mathematical and computational technology for the improvement of human health.

Systems medicine News

Recent Publication

Topological Data Analysis in Biomedicine: A Review

Significant technological advances made in recent years have shepherded a dramatic increase in utilization of digital technologies for biomedicine– everything from the widespread use of electronic health records to… 

1-s2.0-S1532046422000983-ga1_lrg

Symposium

Student Research Symposium

May 10, 2022 • 4:00 – 5:30

Cardiology Conference Room, Laboratory for Systems Medicine

image-coming-soon

RECENT PUBLICATION

Self-reporting of psychiatric illness in an online patient registry is a good indicator of the existence of psychiatric illness

Online registries offer many advantages for research, including the ability to efficiently assess large numbers of individuals and identify potential participants for clinical trials and genetic studies.

1-s2.0-S0022395622001510-gr1_lrg

RECENT PUBLICATION

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

Aspergillus species are ubiquitous environmental moulds, with spores inhaled daily by most humans.

rsif20210806f01

UPCOMING/RECENT PRESENTATIONS

AMS Special Session

Shining the light where experiments cannot see—the role of hemorrhaging in invasive pulmonary aspergillosis

Luis Sordo Vieira will present at 11:00 PT to the AMS Special Session on Mathematical Models for Biomolecular and Cellular Interactions at the Joint Mathematics Meetings.

1

Oral Presentation

The innate immune response to respiratory fungal pathogens: A multi-scale modeling approach

On April 9 at 9:00 PT, Reinhard Laubenbacher will present a paper to the AMS Special Session on Current Advances in Computational Biomedicine at the Virtual 2022 Joint Mathematics Meetings.

1

COLLOQUIUM

The Dynamics of Boolean Networks

On April 11 at 16:00, Reinhard Laubenbacher will present to the Texas A&M University Mathematics colloquium.

Laubenbacher

2022 SUE GELLER UNDERGRADUATE LECTURE

Medical Digital Twins: Mathematics for 21st Century Medicine

On April 12 at 18:00, Reinhard Laubenbacher will deliver the 2022 Sue Geller Undergraduate Lecture at Texas A&M University.

Laubenbacher

Upcoming Seminars

May 17, 2022

Dr. Cameron Browne

Connecting evolutionary genetics and ecological dynamics with multi-strain pathogen models

Dr Cameron Browne

May 24, 2022 @ 10am EDT

Van Thuy Truong

Comparison of ODE and Agent-Based Approaches to Pharmacokinetic Pharmacodynamic Models

Dr. Van Thuy Truong

June 21, 2022

Dr. Manu Aggarwal

Dory: Overcoming Barriers to Computing Persistent Homology

Manu Aggarwal

Current Research Projects

Modular Design of Multi-scale Models

This project seeks to develop a novel approach to the modular design of multi-scale models using virtual machines and a user friendly open-source platform. Availability of biomedical data sets across spatial and temporal scales makes it possible to calibrate complex models that capture integrated processes from the molecular to the whole organism level.

1

Control of Biofilms

The project addresses an important biomedical problem: how to control biofilms formed by Candida albicans, a dimorphic fungus that is an important cause of both topical and systemic fungal infection in humans, in particular immunocompromised patients.

..

Battle Over Iron

Multiscale modeling of disease requires the integration of data at various spatiotemporal scales. Extending these models is often challenged by complex computational implementations and interdependencies between components of the model. In this project, we are developing a computational blueprint so that computational models can be developed in a modular fashion, while minimizing interdependencies between model components.

Capture

Network methods in biomedical research

Network analysis has gained popularity in systems medicine, though most applications have been “out of the box”. Cutting-edge network science draws from the rich history of graph theory and recent developments in statistical modeling and is aided by the speed, storage, and interoperability of computational resources. These distinctive research projects showcase the broader potential of network methods.

Trajectory image

we are hiring!

We are hiring!

The newly established Laboratory for Systems Medicine at University of Florida Health is focused on computational and mathematical approaches to human health.

Computational Research