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Decoding the adaptive immune repertoire for disease prediction
A simple blood test that can diagnose or predict one’s risk for autoimmune diseases would revolutionize medicine and transform patient care. Published in Science, Zaslavsky et al. advance this vision with a powerful machine learning framework that leverages immune receptor sequences from T cells and B cells for disease classification.
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Key Advances in Rheumatology
The Key Advances in Rheumatology collection offers expert insight into the most important discoveries made each year, and is an essential resource for students, physicians and clinical researchers.
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Fibromyalgia: an update on clinical characteristics, aetiopathogenesis and treatment
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Evidence-Based Guideline for the diagnosis and management of eosinophilic granulomatosis with polyangiitis
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Emerging role of extracellular vesicles in inflammatory diseases
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Delineating inflammatory from non-inflammatory mechanisms for therapy optimization in psoriatic arthritis