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Currently, diagnosing a patient with systemic lupus erythematosus (SLE) is a complex process that compares potential lupus with other conditions. It can be challenging and delayed by a period of time, which increases patient uncertainty, referrals, healthcare utilization, increased flares, and organ dysfunction. In this study, machine learning (ML) via artificial intelligence tools based on patient data was used to develop an algorithm to help with SLE diagnosis.

Guselkumab is the first and only approved IL-23 inhibitor therapy used to treat adults with active PsA and moderate to severe plaque psoriasis (PsO). The medication showed efficacy in skin clearance and joint symptom relief and passed safety measures. Additionally, physical function, health-related quality of life, and resolution of enthesitis and dactylitis were confirmed through week 100.