Guan et al. used machine learning to predict the responses to TNF inhibitors in patients with RA using clinical and genetic markers [10]; the authors created a Gaussian process regression model to predict the changes in DAS28 and classified the patients into responders and non-responders. Here, TNF is linked to rheumatoid arthritis.