Cardiology – Digital twins of hearts could help diagnose and treat cardiac disease

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Cardiology – Digital twins of hearts could help diagnose and treat cardiac disease

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This copy, known as a digital twin, will be updated constantly with information from sensors that measure the engine’s performance and check for signs of wear and tear.
If an international team of researchers have their way, similar twins will soon keep an eye on another important piece of equipment, the human heart.
Building a digital twin of a patient’s heart would first require that person to don a variety of sensors.
And, in the same way that digital twins in industry are employed by engineers, virtual hearts could be used by doctors to help with their diagnoses and to determine what treatments might be necessary.
The idea of creating digital heart-twins comes from a cardiac-research programme called ECHOES , led by Frank Rademakers of University Hospitals Leuven, in Belgium.
An important part of ECHOES is the development of miniaturised sensors that will allow people to wear the monitoring equipment throughout their daily lives, rather than just in a clinic or a doctor’s surgery, says Tim Chico of the University of Sheffield, who leads the British arm of the project.
Digital twins would draw data from a broader suite of sensors, and for longer.
To start with, the data used to model and update a digital heart-twin will be recorded by the collection device and uploaded therefrom at intervals.
While wearable heart scanners are several years away, some elements needed to build digital heart-twins are close to deployment.
Rod Hose, a former aerospace engineer who is now an expert in medical modelling at the University of Sheffield, led a recent project called EurValve, which developed a system to help doctors treat people with heart-valve disease.
A digital twin of the whole heart will allow simulation of the treatment of a particular individual for many other conditions, as well.
As more and more patients have their heart twins analysed, machine learning, a form of artificial intelligence that is good at pattern recognition, will be used to study the outputs

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