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Digital Twin

"Digital twins will be essential to make precision medicine a reality"

We met with AI and Med tech enthusiast Ulrike Attenberger, Professor and Chair of the Department of Radiology at the University Hospital in Bonn, to talk about the role of AI in radiology, the potential of patient twins, and what’s needed to design better healthcare.

10min
Romy Albrecht
Published on 2. November 2022

“Professor and Chair in Radiology. AI & MedTech Enthusiast. Driving innovation to improve healthcare is my goal & fascination.” – that’s how the LinkedIn bio of Ulrike Attenberger, MD, goes. With almost 20 years of clinical experience under her belt, the imaging specialist in diagnostic oncology strives to improve the service for her cancer patients. 

A challenging way to better care

Dive deeper into patient twinning

Patient twinning – the future of healthcare
Healthcare Perspectives
27
Patient twinning – the future of healthcare
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Find out what a patient twin is, how it can be created, and what benefits it could offer both patients and medical practitioners. You’ll also learn more about the cloud-based software, Noona, which can be seen as a first step towards a disease-focused version of the digital twin, and how it is used by cancer patients as their 24/7 companion on their journey.
Romy Albrecht
Romy Albrecht
By Romy Albrecht
Romy Albrecht is a digital editor and multimedia content creator at Siemens Healthineers, specializing in technology and innovation topics.

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  1. The statements by Siemens Healthineers customers described herein are based on results that were achieved in the customer’s unique setting. Since there is no “typical” hospital and many variables exist (e.g., hospital size, case mix, level of IT adoption) there can be no guarantee that other customers will achieve the same results.