A new publication from Young Bin Joo, In-Woon Baek, Kyung-Su Park, Ilias Tagkopoulos, and Ki-Jo Kim. Prediction and determination of drug efficacy for radiographic progression is limited by the heterogeneity inherent in axial spondyloarthritis (axSpA). This paper investigates whether unbiased clustering analysis of phenotypic data can lead to coherent subgroups of axSpA patients with a distinct risk of radiographic progression.
Reference: Joo, Young Bin, In-Woon Baek, Kyung-Su Park, Ilias Tagkopoulos, and Ki-Jo Kim. “Novel classification of axial spondyloarthritis to predict radiographic progression using machine learning.” Clinical and Experimental Rheumatology (2020): [Online ahead of print]