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

Precision medicine uses genetic, environmental and lifestyle factors to more accurately
diagnose and treat disease in specific groups of patients, and it is considered one of the …

Systemic lupus erythematosus (SLE) is a chronic, systemic autoimmune disease that causes
damage to multiple organ systems. Despite decades of research and available murine …

Personalized interventions are deemed vital given the intricate characteristics,
advancement, inherent genetic composition, and diversity of cardiovascular diseases …

Using artificial intelligence to improve patient care is a cutting-edge methodology, but its
implementation in clinical routine has been limited due to significant concerns about …

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

Objectives Diagnostic reasoning in systemic lupus erythematosus (SLE) is a complex
process reflecting the probability of disease at a given timepoint against competing …

The past century has been characterized by intensive efforts, within both academia and the
pharmaceutical industry, to introduce new treatments to individuals with rheumatic …

Systemic lupus erythematosus (SLE) is a multisystem, chronic autoimmune disease where
treatment varies by patient and disease activity. Strong preclinical results and clinical …

Goal: Systemic sclerosis (SSc) is a rare autoimmune, systemic disease with prominent
fibrosis of skin and internal organs. Early diagnosis of the disease is crucial for designing …