Jennifer M. Franks, PhD
Postdoctoral Research Fellow
Dept. of Genome Sciences
University of Washington
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Systemic Sclerosis
GENOMIC ANALYSES
Regulator combinations identify systemic sclerosis patients with more severe disease
Machine learning integration of scleroderma histology and gene expression identifies fibroblast polarization as a hallmark of clinical severity and improvement
A Machine Learning Classifier for Assigning Patients with Systemic Sclerosis to Intrinsic Molecular Subsets
Global skin gene expression profile of early diffuse cutaneous systemic sclerosis shows a prominent innate and adaptive inflammatory profile
CLINICAL TRIALS
Clinical and molecular findings after autologous stem cell transplantation or cyclophosphamide for scleroderma: handling missing longitudinal data in a randomized clinical trial
Machine Learning Predicts Stem Cell Transplant Response in Severe Scleroderma
Abatacept in Early Diffuse Cutaneous Systemic Sclerosis - Results of a Phase 2 Investigator-Initiated, Multicenter, Double-Blind Randomized Placebo-Controlled Trial
Belimumab for the Treatment of Early Diffuse Systemic Sclerosis: Results of a Randomized, Double-Blind, Placebo-Controlled Pilot Trial
Mycophenolate Mofetil Treatment of Systemic Sclerosis Reduces Myeloid Cell Numbers and Attenuates the Inflammatory Gene Signature in Skin
MICROBIOME
Microbiome dysbiosis is associated with disease duration and increased inflammatory gene expression in systemic sclerosis skin