Materialise announces FEops acquisition to offer “interactive” planning for structural heart procedures

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Picture: Materialise

Materialise, a provider of 3D printing software and services, has acquired FEops, a Belgian company that develops artificial intelligence (AI)-driven simulation technology to improve procedure efficiency and clinical outcomes for structural heart interventions.

In a press release, Materialise said that the acquisition would enable it to expand its cardiovascular solutions with predictive simulation capabilities, “advancing the personalised treatment of patients with heart disease”.

The value of the transaction was not disclosed.

FEops combines predictive simulation technology and AI, which is intended to allow clinicians to more accurately predict how transcatheter structural heart devices will interact with a patient’s anatomy. Materialise’s Mimics Planner for structural heart interventions, enables the creation of accurate virtual 3D models based on medical image data.

With the integration of FEops, the Mimics Planner will offer a comprehensive solution for anatomy-based 3D planning and AI-based simulation, allowing clinicians to simulate the interaction between a medical device, such as a heart valve, and a patient’s unique anatomy, Materialise added in its press release.

“At Materialise, we are pioneering the advent of mass personalisation in healthcare, using advanced visualisation and 3D printing technologies to deliver precise, patient-specific solutions,” said Brigitte de Vet, CEO of Materialise.

“By integrating FEops’ advanced predictive simulation technology with our Mimics Planner, we are expanding our cardiovascular solutions to provide clinicians with comprehensive insights into patient anatomy. This integration will not only enhance the accuracy and efficiency of structural heart interventions but also improve clinical outcomes and patient safety.”

Materialise says that it is advancing mass personalisation in healthcare by facilitating the creation of image-based virtual 3D models for pre-procedural planning, enhancing the precision and success of complex procedures. These enable the creation of personalised medical devices, guides, and implants tailored to the precise anatomical specifications of individual patients.


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