Hoarding disorder (HD) is a psychiatric condition characterized by difficulty discarding items and accumulation of clutter. Although studies have established the negative impact of HD and compulsive hoarding behavior, fewer have examined the impact on quality of life (QoL) of hoarding behavior independent of obsessive-compulsive disorder (OCD).

To investigate the vulnerability of nurses to experiencing professional burnout and low fulfilment across 5 months of the COVID-19 pandemic. (2) To identify modifiable variables in hospital leadership and individual vulnerabilities that may mitigate these effects.

Plasmodium knowlesi poses a health threat throughout Southeast Asian communities and currently causes most cases of malaria in Malaysia. This zoonotic parasite species has been studied in Macaca mulatta (rhesus monkeys) as a model for severe malarial infections, chronicity, and antigenic variation.

Yoga has been shown to reduce pain and improve function in populations with chronic low back pain (cLBP)…

On August 8, Cory Brunson will present as part of an invited panel on New Developments in Graphing Multivariate Data at the Joint Statistical Meetings in Washington DC.

On July 11, Reinhard Laubenbacher will present at the 30th Conference on Intelligent Systems for Molecular Biology of the International Society for Computational Biology in Madison, WI.

In a special session on Expanding Tidyverse on June 23, Cory Brunson will discuss an open-source R package collection for TDA at the all-virtual useR! 2022.

On Wednesday, May 18, Cory Brunson will give an oral presentation in a mini-symposium on Advances in Pre- and Post-Lung Transplant Care: From Selection to CLAD at the American Thoracic Society International Conference in San Francisco, CA.

Universal Immune System Simulator applied to respiratory infectious diseases

The Power of Noise

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.

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.

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.

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.