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Digital Twin

Humanizing medtech: The dawn of a digital twin

Could computer simulations pave the way for individual patient care? Digital twins have the potential to completely transform the world of medicine.
6min
Andrea Lutz, Doreen Pfeiffer
Published on 31. August 2021

Although there have been some initial successes in this area, the concept imposes particular requirements on two mammoth tasks in particular: the collection and exchange of data.

A health Digital Twin

Theoretical scenarios in real time

An intelligent guide instead of a map

An intelligent guide instead of a map

Most of us consult a digital twin almost every day – and constantly feed it with data – in the form of Google Maps. On this digital map, millions of pieces of real-time information leave a “digital shadow” of current traffic conditions, which is essential in order to provide users with dynamic route suggestions.

A digital twin for everyone?

Personalized medicine is gaining ground

Facilitating treatment decisions and relieving the burden on medical teams

In the future, a wide variety of medical data of a patient could be compiled.
In the future, a wide variety of medical data of a patient could be compiled…

What is holding the twins back?

By Andrea Lutz, Doreen Pfeiffer

Andrea Lutz is a journalist and business trainer specialising in medicine, technology and healthcare IT. She lives in Nuremberg, Germany. Doreen Pfeiffer studied journalism with a focus on medicine/bioscience and works as an editor at Siemens Healthineers.

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  1. 2Reinhard Laubenbacher, James P. Sluka, James A. Glazier: Using digital twins in viral infection. Science, 12 Mar 2021: Vol. 371, Issue 6534, pp. 1105-1106.

    3Source: Hirsch-Kreinsen; Kubach, U.; Stark, R.; Wichert, G. von; Hornung, S.; Hubrecht, L.; Sedlmeir, J.; Steglich, S.: Themenfelder Industrie 4.0. Forschungs- und Entwicklungsbedarfe zur erfolgreichen Umsetzung von e 4.0 [“Industry 4.0 talking points. Research and development requirements for the successful implementation of e 4.0”]. Munich, 2019.

    4Meyer, K.; Ostrenko, O.; Bourantas, G.; Morales-Navarrete, H.; Porat-Shliom, N.; Segovia-Miranda, F.; Nonaka, H.; Ghaemi, A.; Verbavatz, J.-M.; Brusch, L;. Sbalzarini, I.F.; Kalaidzidis, Y.; Weigert, R.; Zerial, M.: A Predictive 3D Multi-Scale Model of Biliary Fluid Dynamics in the Liver Lobule. Cell Systems 22, (2017) 277–290.