Join Dr. Anna Wolska from the Lupus Foundation of America as she delves into a groundbreaking discussion with Dr. Stephen Balevic focused on hydroxychloroquine blood levels and understanding medication adherence in lupus patients. In this episode, Dr. Balevic, a rheumatologist and clinical pharmacologist from Duke University, explains the nuances of interpreting hydroxychloroquine levels, the challenges of ensuring patient adherence, and the implications for clinical practice. Discover the latest insights on optimizing lupus treatment and learn about an innovative algorithm to improve adherence monitoring.

Read the related paper: https://doi.org/10.1136/lupus-2023-001090

Join Dr. Anna Wolska and Dr. May Choi as they explore the role of Artificial Intelligence (AI) and Machine Learning (ML) in guiding diagnostic and care decisions for systemic lupus erythematosus (SLE). Dr. Choi delves into key elements of machine learning and its potential impact on improving outcomes, particularly in underserved populations. She also discusses various types of machine learning, such as deep learning, supervised learning, and unsupervised learning, highlighting their respective contributions to enhancing efficiencies within clinical care settings.

Read the related Review published in LSM: https://doi.org/10.1136/lupus-2023-001140

Join Dr. Anna Wolska and Dr. Jim Posada as they delve into the intricacies of RNAse therapy in the management of Systemic Lupus Erythematosus (SLE). In this podcast episode, Dr. Posada describes the groundbreaking study evaluating the efficacy of RSLV-132, a novel RNAse molecule fused to human IgG1 Fc, in reducing chronic inflammation associated with cutaneous lupus. Key findings from the clinical trial reveal that patients with moderate to severe cutaneous disease activity were administered RSLV-132 over a span of six months. Disease activity was evaluated using the Cutaneous Lupus Erythematosus Disease Area and Severity Index (CLASI) score and Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2K). These findings suggest that RNAse therapy may be effective in patients with higher disease activity.

Read the related paper in LSM - https://doi.org/10.1136/lupus-2023-001113