Data Integration and Modeling to Understand Clostridium difficile Infection

Project ID: 913

Cube proposed by: Vincent Young

Unit: Medicine

Cycle: MCubed 2.0

Cube Accomplishments Click here for more details
4 accomplishments including $9,179,019 in research funding!
About this project: 
Clostridium difficile infection (CDI) is implicated in nearly 3 million cases of diarrhea and colitis in the U.S. each year resulting in an estimated $5 billion in excess healthcare costs. While the majority occurring in patients who have been previously treated with antibiotics thus disrupting the protective gut microbiome, we currently lack a complete understanding as to why certain patients treated with antibiotics develop CDI while others do not. Additionally, we cannot predict which patients with CDI will progress to severe disease with increased complications, including death, while others recover. Our research group will leverage our history of studies on patients with CDI with advanced microbiome and genomic analysis to build predictive models to forecast disease occurrence and severity. It is envisioned that this could lead to a paradigm-shift in management by directing specific treatment and prevention strategies towards patients who would most benefit.