Discovery Park Undergraduate Research Internship Program

"Individualized medicine for better care outcomes-- applications in military medicine"

About the Project

Project Time & Type:
Summer 2017 - DURI
Research area(s):
Project Description:
Medication dosing often times is not precise and requires trial and error. Appropriate drug dose for a given patient depends on numerous patient factors, many of which can alter during an acute illness. In this project we are focusing on an antibiotic drug, vancomycin, which is commonly used to treat patients with sepsis, a severe blood infection. We will use retrospective medical records, patient characteristics and lab measurement data to construct a vancomycin population pharmacokinetic (PK) model using Bayesian inference as the first step toward predicting optimal dose of vancomycin for a given sepsis patient. The success of this project will improve current vancomycin treatment protocols available in military care settings (such as in the Veterans Affairs, VA, medical centers) as well as in civilian medicine.
Expected Student Contributions:
- literature review - cleaning and organizing medical data including medical records, lab measurements, etc. - Bayesian model building of vancomycin (PK) population model using a computation software, R
Related Website(s):
Desired Qualifications:
- Rising junior or senior - GPA >= 3.0 - Computer programming experience - Strong interest in healthcare research - Course work: statistics, mathematical modeling preferred
Estimated Weekly Hours:
Department awards independent research credits for this project?

Professor in Charge

Reklaitis, Rex
Chemical Engineering

Student Supervisor

Poching DeLaurentis
Research Scientist

Cooperating Faculty

Poching DeLaurentis