Idiopathic inflammatory myopathies (IIMs) are heterogeneous conditions, and the optimal way to classify patients and divide them into subgroups remains unclear. Could machine learning techniques be the answer to the problem of defining homogeneous disease phenotypes, enabling stratified treatment approaches and the formulation of future IIM classification criteria?

中文翻译：

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机器学习能否解开复杂的IIM频谱？

特发性炎症性肌病（IIM）是异质性疾病，目前尚不清楚分类患者并将其分为亚组的最佳方法。机器学习技术能否解决定义同质疾病表型，实现分层治疗方法以及制定未来IIM分类标准的问题？