Using DIPS, a non-invasive skin sampling technique, to build cytokine-based biomarker panels that predict biologic treatment response in psoriasis and atopic dermatitis.
Modernizing anti-nuclear antibody testing by combining AI-enhanced image analysis with multiplex autoantibody profiling to improve diagnostic precision and uncover novel autoimmune biomarkers.
Profiling immune responses in severe asthma patients before and after biologic treatment to identify biomarkers of response and novel drug targets.
Building the largest cerebrospinal fluid immune profile dataset in pediatric autoimmune neurological diseases to enable faster, more accurate diagnosis of MS and related conditions.
Profiling deep immune changes before AAV relapse to identify predictive biomarkers and therapeutic targets for this difficult-to-manage autoimmune vasculitis.
Building a spatial single-cell atlas of healthy and diseased human kidneys to redefine immune-mediated kidney disease and identify precision diagnostic and therapeutic targets.
Identifying urine DNA methylation signatures as a non-invasive biomarker for lupus nephritis class and disease progression.
You might also be interested in… Soluble urine activated leukocyte cell adhesion molecule is a strong predictor of lupus nephritis Rheumatology Chu, D; Schwartz, N; Ampudia, J; Guthridge, J; James, […]
