Have You Met Your Digital Twin?

Join Marc Horner, Ph.D., Technical Lead, Healthcare at ANSYS, Inc. as he explains the concept of the digital twin and computational modeling as a critical element of modern healthcare in a free webinar on April 12.

April 03, 2018

Featured on Gartner’s Top Ten Strategic Technology trends, the digital twin model is improving the ability of today’s medical devices to treat patients more efficiently and accurately. These dynamic software concepts will serve as proxies for billions of individuals and monitoring devices by the end of the decade. Are you ready for the cultural shift that will come to healthcare as digital twins and the Internet of Things (IoT) dramatically changes the face of medicine? Join Marc Horner, Ph.D., Technical Lead, Healthcare at ANSYS, Inc. as he explains the concept of the digital twin and computational modeling as a critical element of modern healthcare.

Getting to Know Your Digital Twin
Thursday, April 12, 2018
11:00 AM – 12:00 PM EDT

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Unfortunately, digital twin technology has not yet reached a point where you can simulate your presence in other meetings and log in with us instead. If you can’t make the webinar live, register anyway. We will send out slides/recordings to all registered guests.

In this webinar, Marc will discuss:

  • How the IoT enabled transformational journey in which simulations of products and processes connect through the internet to sensors that continuously capture data about the current state of an asset or process. 
  • How a digital twin can be used to analyze and diagnose operational state and optimize performance under real-world operating conditions and what this means for companies making predictions about future performance, product improvement and productivity, and cost reduction.
  • The unique role this digital twin technology will play in healthcare to include providing a platform for optimizing data collection and device performance during patient use thereby enhancing treatment and improving outcomes.
  • How wearable medical devices collect data through the IoT combined with physiological models to optimize therapies for individual patients. 

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