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Editorial – ESC Munich 2018

JEROEN J. BAX, FESC
Leiden University Medical Center, The Netherlands

From the 25th to 29th of August 2018, the European Society of Cardiology host- ed the annual ESC congress in Munich again. This year, a total of 33 000 health care professionals attended the 4.5-day event, one the most successful cardiology meetings ever. The attendees came from more than 150 countries and enjoyed al- most […]
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2018 acute cardiovasculare care

Milan, Italy
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Les explications de Pierre Boutouyrie, cardiologue et chercheur (Inserm/Paris-Descartes)

Innovations in medicine

Blue light can reduce blood pressure

Exposure to blue light decreases blood pressure, reducing the risk of developing cardiovascular disease, a new study from the University of Surrey and Heinrich Heine University Duesseldorf in collaboration with Philips reports. Read original article

Study Finds Phone App Effectively Identifies Potentially Fatal Heart Attacks with the Near Accuracy of a Standard ECG

Can your smart phone determine if you’re having the most serious – and deadly – form of heart attack? A new research study says it can – and may be a valuable tool to save lives. Read original article

How Can We Know if a Digital Health Intervention Works? Reconsidering Success Metrics and Timelines

We talk about the potential of digital interventions to revolutionize healthcare. They’re scalable, portable, personal, and pack consumer appeal. But we still aren’t able to say with much certainty under what conditions they work, if any, particularly for some of the populations who could benefit most. […] Fortunately, the most promising future revenue models in […]

This Google AI (Sort of) Knows When You’ll Have a Heart Attack

Your eyes, they say, are the windows to your soul — and according to a new study funded by Google, your eyes may also be the windows to an impending heart attack. In the study, Google researchers used retinal-scan data from nearly 300,000 patients to “train” a neural network — an intricate series of algorithms — to detect heart-health risks just by looking at images of a patient’s eyes.
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