Materialise has introduced the acquisition of FEops, a Belgian developer of AI-driven simulation know-how, to enhance look after sufferers with structural coronary heart ailments.
The additive manufacturing pioneer says the acquisition of the corporate, which delivers digital twin and AI-enabled anatomical evaluation applied sciences, will increase its cardiovascular and personalised remedy options with predictive simulation capabilities. The quantity of the transaction was not disclosed.
FEops combines predictive simulation know-how and synthetic intelligence to allow clinicians to extra precisely predict how transcatheter structural coronary heart units will work together with a affected person’s anatomy. Traditionally, transcatheter procedures had been reserved for complicated instances and high-risk sufferers, however as these procedures have change into extra widespread, enhanced visualisation and simulation applied sciences are regarded as a vital part in bettering medical workflow and lengthening the provision of transcatheter procedures to extra sufferers.
Learn extra: Interview: Materialise CEO Brigitte de Vet-Veithen on main the 3D printing pioneer’s subsequent chapter
The know-how might be built-in into Materialise’s Mimics Planner for Structural Coronary heart Interventions to permit clinicians to simulate the interplay between a medical system, corresponding to a coronary heart valve, and a affected person’s distinctive anatomy. Materialise believes this development will ‘remodel affected person look after structural coronary heart ailments by providing a extra interactive and AI-based answer for making ready coronary heart procedures.’
“At Materialise, we’re pioneering the appearance of mass-personalisation in healthcare, utilizing superior visualisation and 3D printing applied sciences to ship exact, patient-specific options,” mentioned Brigitte de Vet, CEO of Materialise. “By integrating FEops’ superior predictive simulation know-how with our Mimics Planner, we’re increasing our cardiovascular options to offer clinicians with complete insights into affected person anatomy. This integration is not going to solely improve the accuracy and effectivity of structural coronary heart interventions but additionally enhance medical outcomes and affected person security.”