ATS 2020 Advance Program

1:00 p.m. - 3:00 p.m. Target Audience Research scientists interested in how technological advances are being used to improve our diagnosis of respiratory infections; clinicians who want to understand how cutting-edge sequencing technologies will soon join our diagnostic arsenal. Objectives At the conclusion of this session, the participant will be able to: • better understand the promise and limitations of existing sequencing platforms in characterizing respiratory microbiota; • articulate the ecologic and transcriptomic signatures of infection compared to health and colonization; • develop a working familiarity with the concepts of machine learning and understand why conventional regression-based analytic techniques are insufficient to meet the informatic challenges of modern sequencing-based diagnostics. The revolution in culture-independent microbiology has transformed our understanding of microbiota within the respiratory tract, but has not yet translated into our diagnosis and management of respiratory infections. Recent advances have brought sequencing-based diagnostics within reach of the bedside. Attendees will learn from world experts how recent discoveries are bridging the divide between discovery science and our diagnostic arsenal. Attendees will learn about novel technologies (e.g. nanopore sequencing), analytic approaches (e.g. integration of metagenomics and metatranscriptomics), and data science techniques (e.g. machine learning) being summoned to advance our understanding and diagnosis of acute respiratory infections. Chairing: G. Kitsios, MD, PhD, Pittsburgh, PA J. Leung, MD, Vancouver, Canada R.P. Dickson, MD, Ann Arbor, MI 1:00 Integrating Host Response and Unbiased Microbe Detection for Diagnosis of Respiratory Infections C. Langelier, MD, PhD, San Francisco, CA 1:20 How Nanopore Sequencing Puts Genomics in Clinicians’ Hands R.P. Dickson, MD, Ann Arbor, MI 1:40 Studying Gut and Lung Microbiota to Understand Pneumonia in Critically Ill Patients G. Kitsios, MD, PhD, Pittsburgh, PA How Machine Learning Can Change the Way We Diagnose Infections R. Das, PhD, Ann Arbor, MI 2:20 PredictingVentilator-AssociatedPneumonia UsingDynamicChanges inRespiratoryMicrobiota B. Kelly, MD, MSCE, Philadelphia, PA 2:40 What the Respiratory Microbiome Can Teach Us About Respiratory Tract Infections in Children D. Bogaert, MD, PhD, Edinburgh, United Kingdom BASIC • CLINICAL • TRANSLATIONAL SCIENTIFIC SYMPOSIUM D87 REPAIR AND REGENERATION OF THE LUNG: TARGETING STEM CELLS IN CYSTIC FIBROSIS Assemblies on Respiratory Cell and Molecular Biology; Pediatrics; Pulmonary Infections and Tuberculosis; Respiratory Structure and Function 1:00 p.m. - 3:00 p.m. Target Audience Basic scientists, clinicians, students, postdoctoral trainees and providers of lung health working in a pediatric and adult pulmonary disease. Objectives At the conclusion of this session, the participant will be able to: • review the current understanding and provide latest updates on the understanding of cell types and stem cell identities in the human airways; • improve knowledge on the recent progress in towards regenerating airway epithelium including gene-editing and stem-cell based approaches; ATS 2020 • Philadelphia, PA 144 WEDNESDAY • MAY 20