Welcome to the Laboratory for Systems Medicine
The newly established Laboratory for Systems Medicine at University of Florida Health is focused on computational and mathematical approaches to human health.
The Laboratory for Systems Medicine was established in 2020 as an initiative funded by the Department of Medicine and the Office of the President of UFHealth. The overarching focus is the development and application of mathematical and computational technology for the improvement of human health. Interests include multi-scale modeling and control of disease processes, systems biology, and computational immunology. We are highly collaborative, maintaining and seeking partnerships with clinical, basic science, computational, and private sector labs and entities. Our expertise includes the development of mechanistic and data-driven multi-scale models of disease-relevant processes, model-driven control and optimization problems, and cutting-edge data science methods applied to high-dimensional data from the molecular to the patient scale.
Systems medicine News
WORKSHOP
Workshop: Research In Biomathematics: A Guide To Funding From The U.S. Army Research Office
The workshop will be held in the afternoon of Tuesday, June 11th. It will be a part of the regular program of the SIAM Conference on the Life Sciences, taking place in Portland, Oregon, June 10-13, 2024. Participants are required to register for the SIAM Conference on the Life Sciences, a one-day registration will be available.
PUBLICATION
Unpacking Hoarding – New hope for a disorder that’s about more than too much stuff
Featuring Dr. Luis Sordo Vieira: “We know so little about mental health disorders and psychiatry as a whole, and yet we have all these large databases coming out,” Sordo Vieira says. “How do we best leverage them to better understand psychiatric disorders?”
PUBLICATION
Toward mechanistic medical digital twins: some use cases in immunology
Digital twin technology for health applications is still in its infancy, and extensive research and development is required. This article focuses on several projects in different stages of development that can lead to specific—and practical–medical digital twins or digital twin modeling platforms.
PUBLICATION
Forum on immune digital twins: a meeting report
Medical digital twins are computational models of human biology relevant to a given medical condition, which are tailored to an individual patient, thereby predicting the course of disease and individualized treatments, an important goal of personalized medicine. The immune system, which has a central role in many diseases, is highly heterogeneous between individuals, and thus poses a major challenge for this technology. In February 2023, an international group of experts convened for two days to discuss these challenges related to immune digital twins.
UPCOMING/RECENT PRESENTATIONS
SEMINAR PRESENTATION
Determinants and Mediators of Racial-Ethnic Differences in Post–Lung Transplant Outcomes
Date: 1/11/24
Venue: UF Pulmonary Research Conference Seminar Series, Gainesville, FL
Presenter: Jason Cory Brunson
SEMINAR PRESENTATION
Treatment Optimization in Medical Digital Twins
Date: Oct 25, 2023
Venue: UF Pulmonary Research Conference Seminar Series, Gainesville, FL
SEMINAR PRESENTATION
How to Calculate an Optimal Drug Regimen
Date: Oct 18, 2023
Venue: UF Pulmonary Research Conference Seminar Series, Gainesville, FL
Moderated Discussion
Research!America Alliance Discussion on Digital Twins
What is a digital twin? Learn more at this Research!America Alliance Discussion on June 15 @ 11:30 am – 12:00 pm.
Upcoming Seminars
Current Research Projects
MARK TERASAKI, JASON CORY BRUNSON, KRISTINA SUAREZ
Structure and development of glomerular capillaries
Topological modeling and simulation lend insight into the structure, development, function, and resilience of glomerular capillary networks.
YARA SKAF, OSAMA DASA, JASON CORY BRUNSON
Exploring Clinical Outcomes using Topological Data Analysis
In this project, we demonstrate how topological data analysis can be used to visualize, explore, and characterize large and complex biomedical data such as electronic health records.
LUIS SORDO VIEIRA, CAROL A. MATHEWS
Predicting Populations At-Risk of Developing Pathological Hoarding
This study will identify risk-factors for developing troublesome hoarding by integrating and analyzing clinical interviews and a web-based registry of adults that includes various medical and cognitive questionnaires and neurocognitive.
HENRIQUE DE ASSIS L RIBEIRO, ADAM C KNAPP, LUIS L FONSECA
Multi-scale Modeling of the Immune Response to Aspergillus Fumigatus
Multi-scale agent-based modeling of the immune response and battle over iron in Aspergillus fumigatus infection.
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.
