Ebenbuild Aims to Provide Clinicians with personalized Digital Twins of the Human Lung

Ebenbuild Aims to Provide Clinicians with personalized Digital Twins of the Human Lung

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.

By providing doctors and nurses with an assessment of a patient’s lung condition, Ebenbuild aims to improve the quality and outcome of treatment for patients.

Using the Intel Distribution for OpenVINO toolkit and OneAPI, 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 used the Intel Math Kernel Library and Intel C++ Compiler to optimize 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, even to the cloud administrators.

Confidential Computing, running on Intel Software Guard Extensions, allows us to reassure healthcare providers that the privacy, confidentiality, and integrity of sensitive patient data is maintained.

Dr. Kei W. Müller, CEO and Co-Founder, Ebenbuild

Read the full article: “Opening the ‘Black Box’”

Source : Intel