Experts at the forefront of advanced diagnostic technologies share the latest updates, learnings and recommendations for a variety of comprehensive sepsis-pathogen detection methods, as well as novel biosensing and machine-enabled learning systems to aid in the rapid identification of sepsis.

Learning Objectives:

• Recognize how systematic differences in the health status of different population groups can affect the early identification of sepsis in various socioeconomic health settings.
• Understand novel findings in the field of sepsis-related biomarkers and how these advancements can potentially improve time to treatment and patient outcomes from sepsis.
• Learn about the role metagenomics has on sepsis sequencing and how new findings in the field of genetic analysis could improve early pathogen detection and accurate and timely treatment of sepsis.
• Perceive the impact of novel biosensing technologies and machine learning methodologies have on early detection of sepsis.

Instructors:

• Cheikh Tidiane Diagne, Institut Pasteur, Senegal (moderator).
• Amy Campbell, ECU Health, United States of America.
• Elisa Estenssoro, Hospital Interzonal San Martin de La Plata, Argentina.
• François Ventura, University Hospitals of Geneva, Switzerland.
• Miriam Huntley, Day Zero Diagnostics, United States of America.
• Tan Toh Leong, University Kebangsaan Malaysia, Malaysia.
• Rishi Kamaleswaran, Emory University, United States of America.

Course Information

Course Instructor

4th WSC Author