New Series: Open Insights in Biomedical Data Science

On Friday, September 18, 1-3 p.m. EST, please join us here for our first meeting, devoted to Deep Learning in Biomedical Research:1 p.m.James Zou, PhD, Assistant Professor of Biomedical Data Science, Stanford University.Computer vision to deeply phenotype human diseases across physiological, tissue and molecular scales2 p.m. Arjun Magge, PhD, Research Scientist, University of Pennsylvania.Deep Learning Pipelines for Toponym Resolution in Scientific Articles2:30 p.m.Ian Barnett, PhD, Assistant Professor of Biostatistics, University of Pennsylvania. Neural Networks for Clustered and Longitudinal Data Using Mixed Effects ModelsConnect to the full meeting from a computer or device:https://bluejeans.com/872520796 Or connect for audio only: 1.408.419.1715 or 1.408.915.6290 Meeting ID: 872 520 796 We will meet virtually on the second or third Friday of the month, from 1 to 3 p.m. EST; please check this page frequently for the latest topics and dates. Over the course of the series, we will discuss topics such as deep learning and artificial intelligence (AI), wearable devices and mobile health, the electronic health record (EHR), social media and health, integrative genomics, precision health, privacy and data sharing, imaging, biobanks, and causal inference with big data. Organizing the series are committee members Ian Barnett, PhD; Sean Hennessy, PharmD, PhD; Graciela Gonzalez Hernandez, MS, PhD; Hongzhe Li, PhD; Mingyao Li, PhD; Li Shen, PhD; and Douglas Wiebe, PhD. Co-presenters are the Center for Statistics in Big Data, the Department of Biostatistics, Epidemiology and Informatics and the Center for Clinical Epidemiology and Biostatistics. Additional Information: • All attendees will be muted (camera and audio) upon entry. You can unmute when you wish to ask a question at the appropriate time. • Depending on the device you use, you may be required to download BlueJeans: https://bluejeans.com/downloads