Accelerating Personalized Health With Healthcare Digital Twins

Accelerating Personalized Health With Healthcare Digital Twins

One rapidly advancing trend in healthcare and life sciences is the shift from inefficient, expensive physical models to digital models tested in the virtual world. This is especially critical when time to value and cost are of the essence, as in the case of a global pandemic. One way to address this challenge, is to create a digital replica of a physical system or environment, accumulate data with sensors and collectors to monitor performance, and identify anomalies and trends to predict problems before they occur. This is known as a digital twin.The concept of a digital twin is not a new one. In fact, it has been around for several decades. However, it is only in recent years that the technology has advanced to the point where it is practical and cost-effective to create digital twins of large, complex systems. 

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Digital twin research can help us put together cohorts of comparable patients that would be impossible, or prohibitively expensive, to assemble in real life. We’ll be able to create complex protocols for studying every aspect of chronic conditions and maybe someday resolving it. Patient digital twins will take clinical research to a whole new level by accelerating the biotech development process at every stage to deliver tomorrow’s innovations.While full modelling of all systems within a human being may not be possible at this time, advances in data capture technology and monitoring capabilities are paving the way for full human simulation in the near-term future. This opportunity will allow us to create personalized pharmaceuticals and patient-specific therapies to not only treat disease, but help us to even eliminate it and prevent it in the first place.


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