Infectious Disease Research: A Holistic Approach to Physiologic Data Collection and Model Development
研讨会时间：5月27日23:00-24:00（北京时间）
主讲人：Anna Honko, Ph.D.
Research Associate Professor, Microbiology
Investigator, National Emerging Infectious Disease Laboratories (NEIDL)
Boston University School of Medicine
主讲人：Doug Reed, Ph.D.
Associate Professor of Immunology
Center for Vaccine Research
University of Pittsburgh School of Medicine
Join Dr. Anna Honko and Dr. Doug Reed as they discuss methods and applications for infectious disease research including coronavirus-based illnesses.
Increasing world populations and ease of international travel are driving the necessity for better preparedness to protect the public from infectious disease outbreaks, as is evident with the coronavirus outbreak of 2019 and 2020. The scientific community works tirelessly to identify prevention and treatment options but are chasing a villain that changes form as the virus mutates. Research to identify virus-specific and universal vaccines as well as effective treatments is on-going.
In this webinar, Dr. Anna Honko, Research Associate Professor, Microbiology at Boston University School of Medicine, provides a past-perspective overview of infectious disease research using telemetry as well as a preview of upcoming SARS-CoV-2 based approaches. Dr. Honko explores the need to maximize endpoints collected in non-human primates to draw better conclusions while supporting the Animal Rule and trigger-to-treat studies.
Dr. Doug Reed, Associate Professor of Immunology at the University of Pittsburgh Center for Vaccine Research, provides examples using a multi-species approach to study COVID-19. In addition, Dr. Reed highlights post-exposure data analysis methods for telemetry and plethysmography to support translational research.
Key discussion topics include:
• Range of species used in infectious disease and coronavirus research
• Model development techniques using a variety of scientific instrumentation
• Physiologic endpoints used for both biomarkers and post infection monitoring
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