MUSMedical University of South Carolina · Pharmacology
Paczesny Lab
Sophie Paczesny · Charleston, South Carolina
Research Focus
Dr. Sophie Paczesny's research lab focuses on improving the prediction and understanding of chronic graft-versus-host disease (cGVHD) through innovative machine learning techniques. By analyzing blood samples from transplant patients, the lab aims to identify specific biomarkers that can indicate who is at risk of developing cGVHD and enhance early treatment strategies. This work is vital for personalizing therapies and improving outcomes for patients undergoing hematopoietic cell transplantation.
biomarkersgraft-versus-host diseasemachine learninghematopoietic cell transplantationproteomicspatient stratificationpredictive modelingblood analysisclinical trials
Research Aims
3AIM 01Utilize machine learning to identify plasma biomarkers indicative of cGVHD risk post-transplant.
AIM 02Analyze cellular biomarkers from blood samples to enhance prediction of cGVHD development.
AIM 03Develop comprehensive biomarker panels that improve risk stratification for hematopoietic cell transplant patients.
Skills the Lab Values
machine learningproteomic analysiscell culturemass cytometrydata analysisbioinformaticsbiostatisticsblood sample processingclinical trial data management
Output against the department
Publications315top 25% of dept.114th of 462
this lab
most publishedleast published
Citations9.5ktop 40% of dept.185th of 462
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.