Osteoarthritis compass: Predicting personalized disease onset and progression with future capacity for clinical use.

膝骨性关节炎(OA)是常见的、疼痛的和昂贵的。膝关节骨性关节炎治疗的一般指南已经存在，但不能针对患者进行个性化。新的计算机模拟方法能够预测膝关节骨性关节炎的发病和进展，但需要进一步的测试。我们的目标是1)将这些新的计算机建模方法应用于从膝骨性关节炎风险患者组和膝骨性关节炎患者组获得的传统数据集，以及2)使这些模型足够简单和快速，以便在临床上使用。

Knee osteoarthritis (OA) is common, painful, and costly. General guidelines for knee OA management exist but cannot be personalized to the patient. New computer modelling methods enable prediction of knee OA onset and progression on a patient by patient basis but need further testing. Our aims are to 1) apply these new computer modelling methods to legacy datasets acquired from patient groups at risk of, and with, knee OA, and 2) make these models simple and fast enough to be clinically useful.