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INBRE Collaborative Projects

A Predictive Modeling Framework for Studying Disparity in Colorectal Screening

This proposal aims to develop a colorectal cancer data repository by engaging participation from the Louisiana Clinical Data Research Network (LACDRN) from a regionally distributed population, and developing a predictive model by identifying the underlying key factors that are highly correlated with the gender and race. The proposed predictive model will then aid in computing the confidence associated with each patient on the risk of developing colon cancer. The results generated from the proposed study will lead us to advance in closing the loop between the established factors of race and gender as being the covariates, along with other unidentified and underlying environmental and socio-economic factors from South Louisiana. 

Neurolymphatic Biomarker Analysis in Multiple Sclerosis

Multiple sclerosis (MS) is a complex, devastating and enigmatic immune-mediated neurovascular disease of the central nervous system (CNS) that is characterized by inflammatory demyelination, degeneration of neurons and axonal loss. In our project we are proposing to examine endothelial particles that represent the future for analysis of blood biomarkers, as they can simultaneously provide information on several proteins originally derived from the brain cell surface. We would like to validate these biomarkers against the MRIs of the patients, which, until this time, have been the only objective and reliable diagnostic tool for MS. If our hypotheses are confirmed our project will propel the neurolymphatic biomarker matrix as a potentially new, non-invasive and inexpensive tool for diagnosis and monitoring of MS.