ATS 2019 Virtual Final Program

12:15 Bal Trancriptome in Sarcoidosis N. Kaminski, MD, ATSF, New Haven, CT 12:29 Genetics and Environment in Sarcoidosis: Lessons From Grads L.A. Maier, MSPH, MD, Denver, CO 12:43 Microbiome Discovery in Grads A.M. Morris, MD, MS, Pittsburgh, PA 12:57 Insights From the Grads Study K.C. Patterson, MD, Falmer, United Kingdom 1:11 Discussion DIVISION OF LUNG DISEASES, NHLBI/NIH L6 PREVENTION AND EARLY TREATMENT OF ACUTE LUNG INJURY (PETAL) CLINICAL TRIALS NETWORK 12:15 p.m. - 1:15 p.m. KBHCCD Room D163/D165/D170/D172 (Level 1) Target Audience Practicing critical care and emergency medicine clinicians and clinical researchers would benefit from this session. This includes fellows, students, nurses, and other medical professionals Objectives At the conclusion of this session, the participant will be able to: • understand the goals and structure of the PETAL network; • understand the questions being addressed in PETAL and the design/conducts of the trials; • learn new findings and results of PETAL trials. This session will provide an update on the NHLBI Prevention and Early Treatment of Acute Lung Injury (PETAL) clinical trials network. The session will describe the structure and goals of the PETAL network and an overview of progress in ongoing trials and results to date. Chairing: L. Reineck, MD, Bethesda, MD R.G. Brower, MD, Baltimore, MD 12:15 PETAL Overveiw R.G. Brower, MD, Baltimore, MD 12:25 Neuromuscular Blockade in Severe ARDS (ROSE) Trial Update M. Moss, MD, ATSF, Aurora, CO 12:35 Vitamin D (VIOLET) Trial Update A. Ginde, MD, MPH, Aurora, CO 12:45 Update on the CLOVERS Trial N. Shapiro, MD, MPH, Boston, MA 12:55 Introducing the COROLLA Trial T.W. Rice, MD, MSc, Nashville, TN 1:05 Extending PETAL’s Science Through Ancillary Studies C.T.L. Hough, MD, MSc, Seattle, WA DIVISION OF LUNG DISEASES, NHLBI/NIH L7 ACCESS AND ANALYZE MASSIVE CLINICAL, IMAGE, AND GENOMICS DATA IN THE CLOUD 12:15 p.m. - 1:15 p.m. KBHCCD Room D220/D227 (Level 2) Target Audience Scientists, physicians, fellows, and students who are interested in analyzing clinical, image, and genomic data Objectives At the conclusion of this session, the participant will be able to: • learn a new computing system that can integrate large volumes of datasets from clinical studies; • learn how to use the new computing system to analyze big data for scientific discovery research; • learn how the new computing system can be used to apply artificial intelligence to extract biomedical information from chest CT image. The goal of this session is to demonstrate that regular users can easily browse and analyze large volumes of clinical, image, and genomic datasets using a set of tools developed in a public cloud computing system and supported by NHLBI’s new data science project, Data STAGE (Storage, Toolspace, Access and analytics for biG data Empowerment). The data from lung disease studies, especially COPDGene, will be used for the demonstration. COPDGene is a longitudinal cohort study for COPD in 10,000 smokers. COPDGene clinical measurements, chest CT, and whole genome sequencing data will be available in this cloud system. Chairing: W. Gan, PhD, Bethesda, MD E.K. Silverman, MD, PhD, Boston, MA 12:15 Data STAGE-NHLBI’s New Project Supporting Large Scale Data Analysis for Everyone W. Gan, PhD, Bethesda, MD 12:22 Helium’s STAGE Infrastructure in Support of Imaging, Clinical and Genomic Data and Analytics A. Krishnamurthy, PhD, Chapel Hill, NC 12:35 Creating FAIR Computational Tools for the Nationally-Scaled Conduct of Biomedical Research P. Avillach, MD, PhD, Boston, MA 12:48 Using STAGE To Advance Big Data Research in COPDGene E.K. Silverman, MD, PhD, Boston, MA 1:01 Deep Learning Imaging Research in COPDGene on the STAGE R. San Jose Estepar, PhD, Boston, MA ATS 2019 • Dallas, TX 96 SUNDAY • MAY 19