Article

Digital Twins: Making Medical Technology More Precise, Preventive & Personalized

Posted February 23, 2021 in Business Agility & Software Engineering Excellence, Business Technology & Digital Transformation Strategies, Data Analytics & Digital Technologies Cutter Business Technology Journal
health digital twin
Chloé Audigier and Dileep Mangsuli explore digital twins in the medical domain, specifically regarding modeling humans and their care. They explore the complexity of data related to various organs and scenarios, especially how models must be based on the behavior of many people yet personalized to a specific person. Medical digital twins can help predict therapeutic outcomes and how an individual will react to a particular approach. This is a promising field with endless applications and possibilities.
About The Author
Chloé Audigier
Chloé Audigier is a research scientist at Siemens Healthineers. Previously, she was a Postdoctoral Fellow in the Radiology Department of Johns Hopkins University. Dr. Audigier is an expert in medical image analysis with a focus on computational modeling of physiologic processes. She holds three US patents and has authored and coauthored more than 20 publications, which have won several awards, including Outstanding Paper Award at the MICCAI… Read More
Dileep Mangsuli
Dileep Mangsuli heads the Siemens Healthineers Development Center, where he engages in creating cutting-edge technology for precision health solutions. With over 25 years’ experience in product design/engineering and business solutions, Mr. Mangsuli is a strategic and decisive technology leader who has built global engineering teams across India, the US, Europe, and China, launching new products worldwide. He is passionate about customers,… Read More
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