[HTML][HTML] Machine learning application in autoimmune diseases: State of art and future prospectives
MG Danieli, S Brunetto, L Gammeri, D Palmeri… - Autoimmunity …, 2023 - Elsevier
Autoimmune diseases are a group of disorders resulting from an alteration of immune
tolerance, characterized by the formation of autoantibodies and the consequent …
tolerance, characterized by the formation of autoantibodies and the consequent …
Application of machine learning models in systemic lupus erythematosus
F Ceccarelli, F Natalucci, L Picciariello… - International Journal of …, 2023 - mdpi.com
Systemic Lupus Erythematosus (SLE) is a systemic autoimmune disease and is extremely
heterogeneous in terms of immunological features and clinical manifestations. This …
heterogeneous in terms of immunological features and clinical manifestations. This …
Analysis of Transcriptomic features reveals molecular Endotypes of SLE with clinical implications
EL Hubbard, P Bachali, KM Kingsmore, Y He… - Genome medicine, 2023 - Springer
Background Systemic lupus erythematosus (SLE) is known to be clinically heterogeneous.
Previous efforts to characterize subsets of SLE patients based on gene expression analysis …
Previous efforts to characterize subsets of SLE patients based on gene expression analysis …
Artificial intelligence and high-dimensional technologies in the theragnosis of systemic lupus erythematosus
Systemic lupus erythematosus is a complex, systemic autoimmune disease characterised by
immune dysregulation. Pathogenesis is multifactorial, contributing to clinical heterogeneity …
immune dysregulation. Pathogenesis is multifactorial, contributing to clinical heterogeneity …
Tailored treatment strategies and future directions in systemic lupus erythematosus
D Nikolopoulos, L Fotis, O Gioti… - Rheumatology …, 2022 - Springer
Systemic lupus erythematosus (SLE) represents a diagnostic and therapeutic challenge for
physicians due to its protean manifestations and unpredictable course. The disease may …
physicians due to its protean manifestations and unpredictable course. The disease may …
[HTML][HTML] An interpretable machine learning pipeline based on transcriptomics predicts phenotypes of lupus patients
Machine learning (ML) has the potential to identify subsets of patients with distinct
phenotypes from gene expression data. However, phenotype prediction using ML has often …
phenotypes from gene expression data. However, phenotype prediction using ML has often …
Recent advances in the use of machine learning and artificial intelligence to improve diagnosis, predict flares, and enrich clinical trials in lupus
KM Kingsmore, PE Lipsky - Current Opinion in Rheumatology, 2022 - journals.lww.com
Recent advances in the use of machine learning and artificia... : Current Opinion in
Rheumatology Recent advances in the use of machine learning and artificial intelligence to …
Rheumatology Recent advances in the use of machine learning and artificial intelligence to …
Autophagy and machine learning: Unanswered questions
Autophagy is a critical conserved cellular process in maintaining cellular homeostasis by
clearing and recycling damaged organelles and intracellular components in lysosomes and …
clearing and recycling damaged organelles and intracellular components in lysosomes and …
Machine learning and artificial intelligence within pediatric autoimmune diseases: applications, challenges, future perspective
ABSTRACT Introduction Autoimmune disorders affect 4.5% to 9.4% of children, significantly
reducing their quality of life. The diagnosis and prognosis of autoimmune diseases are …
reducing their quality of life. The diagnosis and prognosis of autoimmune diseases are …
What is circulating factor disease and how is it currently explained?
S Hayward, K Parmesar, MA Saleem - Pediatric Nephrology, 2023 - Springer
Nephrotic syndrome (NS) consists of the clinical triad of hypoalbuminaemia, high levels of
proteinuria and oedema, and describes a heterogeneous group of disease processes with …
proteinuria and oedema, and describes a heterogeneous group of disease processes with …