McInnes: Machine-learning separates out 13 clusters of PsA in RCT population (i.e. already selected). Offers opportunities to reduce some of the massive heterogeneity in PsA to help inform biomarker studies and future precision medicine strategies. #Eular2019 @RheumNow https://t.co/h3Otp4Oq8U