S23-452 Non-invasive profiling of urinary tract tissues with urine liquid biopsy Researchers at Stanford and UCSF have determined methods of performing cell-free RNA (cfRNA) transcriptomics and metabolomics on urine samples. Sevahn Vorperian Stephen Quake Gabriel Loeb
S22-041 Reconfiguration of Tabular Data for Discovery of Deep Interaction Features and its Applications in Analysis of Multidimensional Data Stanford scientists have developed a high-performance informatics framework for deep learning analyses of high dimensional (HD) omics data. Md Tauhidul Islam Lei Xing
S19-384 Prediction of gestational age using urine metabolites Stanford scientists have invented a method that can determine the gestational age of a fetus by testing the mother's urine for a set of metabolites. Kevin Contrepois Michael Snyder Songjie Chen Nima Aghaeepour Sajjad Ghaemi
S19-394 Using pregnancy urine samples and untargeted metabolomics profiling for gestational age prediction Stanford scientists have invented a method that can determine the gestational age of a fetus by testing the mother's urine using metabolomics profiling and machine learning. Liang Liang Michael Snyder Mads Melbye Songjie Chen Xiaotao Shen Larry Rand Laura Jelliffe