Dr. Christopher Gillies (Emergency Medicine) and the team develop statistical methods, especially Bayesian methods, that can correctly take into account missing data when they examine patient metabolomics data. They will use such methods to predict the survival of sepsis patients, and to detect the onset of acute respiratory distress syndrome.
Christopher E. Gillies, PhD, Principal Investigator, Department of Emergency Medicine
Kevin Ward, MD, Co-Principal Investigator, Department of Emergency Medicine and Department of Biomedical Engineering
Kathleen Stringer, PhamD, Co-Principal Investigator, Department of Pharmacy
Xudong Fan, PhD, Co-Principal Investigator, Department of Biomedical Engineering
Ruchi Sharma, PhD, Co-Investigator, Department of Biomedical Engineering
Theodore Jennaro, PharmD, Student Investigator, Department of Clinical Pharmacy
The team has published a paper in Metabolites and a second paper is under review at Critical Care Medicine.