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CarDiaLogue

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This platform is the one stop content site for healthcare professionals passionate about cardiovascular disease management.

 

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CarDiaLogue unites the passion for cardiology and diagnostics in an engaging dialogue

Join the #CarDiaLogue today and sign up for updates.

CarDiaLogue brings you the latest insights and valuable perspectives from some of the sharpest minds in cardiology to complement your specialist skills.

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September 9th 13:00 to 14:10 CEST

How will the new European Diagnostics regulations affect our Clinical practice, research and innovation?

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Panel discussion

 

An overview of IVDR: what is it? And how will it affect clinical practice?

Prof. Christa Cobbaert

 

What is the perspective of each stakeholder on the IVDR changes?

Prof. Christa Cobbaert

Prof. Christian Müller

Dr. Christian Zaugg

A glance into the future of cardiology

 

An interview with Dr. Sandra Sanders van Wijk

 

Robot nurses, algorithms and other artificial intelligence tools will guide the future of cardiovascular disease management. In this video cardiologist Dr. Sandra Sanders van Wijk shares her thoughts on the exciting innovations that might support cardiologists in their clinical decision-making process and patients in their care path.

Watch this video to learn more & start the #CarDiaLogue

Methods for cardiovascular (CVD) risk stratification and management during the COVID-19 pandemic webinar

 

Missed the webinar? No worries - download it.

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Global impact of the COVID-19 pandemic in diagnosis and management of CVD

Prof. James Januzzi

 

The background and mechanism of myocardial injury in COVID-19 patients

Dr. Raphael Twerenbold

 

Insights from ICU: acute cardiac dysfunction is frequent

Prof. Alexandre Mebazaa

 

Insights from clinical practice, learnings from China

Dr. Zhou Ning

The power of real-world data

 

Dr. Ameet Bakhai, London, England

 

Real world data on the incidence, mortality, and cost of ischaemic stroke and major bleeding events among non valvular atrial fibrillation patients in England.

Machine learning for disease management

 

Dr. Ameet Bakhai, London, England

 

Digital tools and machine learning in disease management and prevention.

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