AIMC Topic: Scleroderma, Diffuse

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Machine learning integration of scleroderma histology and gene expression identifies fibroblast polarisation as a hallmark of clinical severity and improvement.

Annals of the rheumatic diseases Oct 7, 2020
OBJECTIVE: We sought to determine histologic and gene expression features of clinical improvement in early diffuse cutaneous systemic sclerosis (dcSSc; scleroderma).
Humans Machine Learning Female Adult Male Middle Aged Severity of Illness Index Fibroblasts Gene Expression Skin Antigens, CD34 Collagen Actins Clinical Trials as Topic Forearm Scleroderma, Diffuse
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Machine learning predicts stem cell transplant response in severe scleroderma.

Annals of the rheumatic diseases Sep 15, 2020
OBJECTIVE: The Scleroderma: Cyclophosphamide or Transplantation (SCOT) trial demonstrated clinical benefit of haematopoietic stem cell transplant (HSCT) compared with cyclophosphamide (CYC). We mapped PBC (peripheral blood cell) samples from the SCOT...
Humans Machine Learning Female Adult Male Middle Aged Gene Expression Profiling Transcriptome Treatment Outcome Immunosuppressive Agents Hematopoietic Stem Cell Transplantation Cyclophosphamide Scleroderma, Diffuse
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