S18-506 Machine Learning Model for Dose Volume Histograms (DVHs) and Dose Prediction based on Dosimetric Features Stanford researchers at the Xing Lab have developed a dosimetric features driven- machine learning model for dose volume histograms (DVHs) and dose prediction for volumetric modulated arc therapy (VMAT) planning. Yong Yang Lei Xing Ming Ma