An introduction to machine learning and analysis of its use in rheumatic diseases

KM Kingsmore, CE Puglisi, AC Grammer… - Nature Reviews …, 2021 - nature.com
Abstract Machine learning (ML) is a computerized analytical technique that is being
increasingly employed in biomedicine. ML often provides an advantage over explicitly …

Metabolic reprogramming of the intestinal microbiome with functional bile acid changes underlie the development of NAFLD

E Smirnova, MD Muthiah, N Narayan, MS Siddiqui… - Hepatology, 2022 - journals.lww.com
Autoimmune hepatitis (AIH) is a rare disease of unclear etiology characterized by loss of self‐
tolerance that can lead to liver injury, cirrhosis, and acute liver failure. First‐line treatment …

Noninvasive biomarkers for the diagnosis and management of autoimmune hepatitis

C Harrington, S Krishnan, CL Mack, P Cravedi… - Hepatology, 2022 - journals.lww.com
Autoimmune hepatitis (AIH) is a rare disease of unclear etiology characterized by loss of self‐
tolerance that can lead to liver injury, cirrhosis, and acute liver failure. First‐line treatment …

[HTML][HTML] Clinical disease activity and flare in SLE: Current concepts and novel biomarkers

A Thanou, E Jupe, M Purushothaman, TB Niewold… - Journal of …, 2021 - Elsevier
Systemic lupus erythematosus (SLE) is a complex and heterogeneous systemic
autoimmune disease associated with innate and adaptive immune dysregulation. SLE …

The pathogenesis, molecular mechanisms, and therapeutic potential of the interferon pathway in systemic lupus erythematosus and other autoimmune diseases

M Ramaswamy, R Tummala, K Streicher… - International Journal of …, 2021 - mdpi.com
Therapeutic success in treating patients with systemic lupus erythematosus (SLE) is limited
by the multivariate disease etiology, multi-organ presentation, systemic involvement, and …

Adults with systemic lupus exhibit distinct molecular phenotypes in a cross-sectional study

JM Guthridge, R Lu, LTH Tran, C Arriens, T Aberle… - …, 2020 - thelancet.com
Background The clinical and pathologic diversity of systemic lupus erythematosus (SLE)
hinders diagnosis, management, and treatment development. This study addresses …

[HTML][HTML] Type I interferons in systemic autoimmune diseases: distinguishing between afferent and efferent functions for precision medicine and individualized …

F Chasset, JM Dayer, C Chizzolini - Frontiers in Pharmacology, 2021 - frontiersin.org
A sustained increase in type I interferon (IFN-I) may accompany clinical manifestations and
disease activity in systemic autoimmune diseases (SADs). Despite the very frequent …

[HTML][HTML] Epstein-Barr functional mimicry: pathogenicity of oncogenic latent membrane protein-1 in systemic lupus erythematosus and autoimmunity

ME Munroe, JR Anderson, TF Gross, LL Stunz… - Frontiers in …, 2021 - frontiersin.org
Systemic lupus erythematosus (SLE) and other autoimmune diseases are propelled by
immune dysregulation and pathogenic, disease-specific autoantibodies. Autoimmunity …

[HTML][HTML] Artificial intelligence and laboratory data in rheumatic diseases

P Galozzi, D Basso, M Plebani, A Padoan - Clinica Chimica Acta, 2023 - Elsevier
Artificial intelligence (AI)-based medical technologies are rapidly evolving into actionable
solutions for clinical practice. Machine learning (ML) algorithms can process increasing …

Current state and completeness of reporting clinical prediction models using machine learning in systemic lupus erythematosus: A systematic review

P Munguía-Realpozo, I Etchegaray-Morales… - Autoimmunity …, 2023 - Elsevier
Objective We carried out a systematic review (SR) of adherence in diagnostic and
prognostic applications of ML in SLE using the Transparent Reporting of a multivariable …