The NIAID/Division of Microbiology and Infectious Diseases (DMID) Systems Biology Consortium for Infectious Diseases is a group of interdisciplinary scientists that bridge disparate scientific disciplines including microbiology, immunology, infectious diseases, microbiome, mathematics, physics, bioinformatics, computational biology, machine learning, statistical methods, and mathematical modeling. These teams work together to integrate large-scale experimental biological and clinical data across temporal and spatial scales through computational and modeling tools to better understand infectious diseases. Through a collaborative effort, scientists iteratively test and validate hypotheses to gain insight into the overall complexity of the biological, biochemical, and biophysical molecular processes within microbial organisms as well as their interaction with the host. The research findings drive innovation and discovery, with the goal of developing novel therapeutic and diagnostic strategies, and predictive signatures of disease to alleviate infectious disease burden and provide solutions to complex public health challenges and disease outbreaks.
Main Areas of Focus
- Provide novel insights into the complex relationship between a pathogen and its host
- Reveal potential biomarkers to predict disease onset, severity, and progression and response to therapeutic interventions.
- Identify targets for new therapeutics and intervention strategies Meetings