Ebenbuild Prototypes Medical Digital Twins

The prototype may help transform mechanical ventilation therapy, improving survival and recovery rates for patients.

At a Glance:

  • Healthcare technology provider Ebenbuild has launched a research program to increase the odds of survival and recovery of those needing artificial ventilation due to acute respiratory distress syndrome.

  • Ebenbuild’s developers optimized pre-trained artificial intelligence inference models to run on Intel® hardware, accelerating performance of the computer vision cluster. For fast data processing and visualization in the simulation cluster, Ebenbuild optimized its application to run on Intel® Xeon® Scalable processors. Confidential computing, powered by Intel® Software Guard Extensions, enables Ebenbuild to process data from multiple sources and transfer it to the cloud without exposing it.

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Executive Summary


The COVID-19 pandemic has brought to the world’s attention the valuable work carried out by intensive care unit (ICU) clinicians across the globe. Without mechanical ventilation therapy, many more patients with acute respiratory distress syndrome (ARDS), from COVID-19 complications and other causes, would have sadly passed away.

Given the equipment clinicians have available to inform ventilation therapy, their success in treating patients is even more impressive. Currently, doctors and nurses have little way of understanding the impact of mechanical ventilation on the different parts of a patient’s lung. They rely on simple written formulas, experience, and, in many cases, trial and error to inform treatment.

However, ARDS care could be about to enter a new era thanks to a pioneering research program from Ebenbuild, which is fusing patient data with sophisticated machine learning algorithms and physics-based computer simulation. By better understanding the human lung, physicians could personalize ventilation therapy to bring many more ARDS patients to a full recovery.



Read “Opening the ‘Black Box’”›