Sher A, Medavaram S, Nemesure B, et al. - In patients with locally advanced non-small cell lung cancer (NSCLC) receiving concurrent chemo-radiotherapy (cCRT), researchers investigated the factors predictive of survival as well as sought to create a risk prediction model for these patients. They applied a machine learning approach to derive a risk score for death. They included 149 patients with locally advanced NSCLC who were treated with cCRT between 2007 and 2015. Age, gender, smoking status, albumin, histology, largest tumor size, number of nodal stations, stage, induction therapy, and radiation dose, all were identified as prognostic factors for survival in the discovery group. Good risk predictive accuracy was displayed by the derived model. The high-risk group had shorter median survival time compared to the low-risk group. The importance of combining patient, clinical, and treatment variables for getting an accurate prediction of results was highlighted by this new risk prediction model for overall survival in these patients. For patients with locally advanced NSCLC managed with concurrent chemo-radiation, personalized treatment decisions can be made using this tool.