In the past decade, the emergence of machine learning (ML) applications has led to
significant advances towards implementation of personalised medicine approaches for …

Systemic autoimmune rheumatic diseases (SARDs) exhibit extensive heterogeneity in
clinical presentation, disease course, and treatment response. Therefore, precision …

The key immunologic signatures associated with clinical outcomes after posttransplant
cyclophosphamide (PTCy)-based HLA-haploidentical (haplo) and HLA-matched bone …

Abstract Machine learning (ML) is a computerized analytical technique that is being
increasingly employed in biomedicine. ML often provides an advantage over explicitly …

Systemic lupus erythematosus (SLE) is an autoimmune disease that has diverse clinical
manifestations, ranging from restricted cutaneous involvement to life-threatening systemic …

Emerging machine learning (ML) technologies have the potential to significantly improve the
research and treatment of rare diseases, which constitute a vast set of diseases that affect a …

Background Sexual dimorphisms, which vary depending on age group and pubertal status,
have been described across both the innate and adaptive immune system. We explored the …

Lupus nephritis (LN) represents the most severe organ manifestation of systemic lupus
erythematosus (SLE) in terms of morbidity and mortality. To reduce these risks, tremendous …

The COVID-19 pandemic has spread across New York City, NY, USA, affecting more than
150 000 of its 8· 5 million inhabitants as of April 26, 2020. 1 Severe illness resulting in …

The human immune system is very complex. Understanding it traditionally required
specialized knowledge and expertise along with years of study. However, in recent times …