#ExpertAnswers: Peter Plouf and Filip Konecny on Pressure-Volume Loop Data
Airdate: Thursday, March 12, 2015 Season: 2 Episode: 2
Guests: Peter Plouf, Filip Konecny
This episode of #ExpertAnswers features Peter Plouf, Director of R&D, Scisense, Transonic, and Filip Konecny, DVM PhD Application Scientist and Surgical Trainer, Transonic. They are here to discuss what is essential in order to collect valid Pressure-Volume Loop data.
For more information or to watch the webinar, click here.
Associated Webinar: Best-Practices to Achieve Quality Pressure-Volume Loop Data in Rodents
Similar Podcasts
#ExpertAnswers: Artur Federowoski on Cardiovascular Dysautonomia in Post-COVID-19
Artur Federowski explains CV dysautonomia as a specific sequalae of acute COVID-19 and guides the audience in the diagnostic work-up of PASC patients with suspected cardiovascular complications.
#ExpertAnswers: Phil Griffiths on Telemetry Studies
Phil Griffiths draws from his experience as a telemetry user to discuss some important considerations for designing telemetry studies.
#ExpertAnswers: Cole McLarty, Nick Glover, and Tim Hacker on Pressure-Volume Loops
Cole McLarty, Nick Glover and Dr. Timothy Hacker focus on Pressure-Volume Loop collection and data analysis for cardiovascular research.
Related Content
Cardiovascular Autonomic Dysfunction in the Post-COVID Landscape: Detection and Management
Artur Fedorowski, MD, PhD, describes cardiovascular dysautonomia in COVID-19 and the diagnostics behind detecting Long COVID or Post-acute Sequalae of COVID-19.
APS Physiology in Disease Modeling and Drug Development Roundtable
Key opinion leaders in cardiovascular physiology and bioengineering discuss best practices and challenges when modeling cardiomyopathies and other cardiovascular diseases using stem cells, engineered tissues and other novel platforms.
Experimental Design Considerations to Optimize Chronic Cardiovascular Telemetry Studies
Phil Griffiths, PhD, presents a summary of chronic cardiovascular telemetry studies and considerations for experimental design.