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Digital Twins Revolutionizing Shoulder Implant Design

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Manage episode 456979074 series 3608409
Innhold levert av InSilicoUK. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av InSilicoUK eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Ever wondered how we can make shoulder replacements safer without endless clinical trials? In today's episode, we dive into groundbreaking research that's revolutionising orthopaedic device testing through virtual simulations. We'll explore how researchers have developed a sophisticated computational model that predicts when shoulder implants might loosen – a critical concern in shoulder replacement surgery.

What makes this study fascinating is its dual-validation approach, which combines laboratory tests with real-world clinical data. We'll unpack how the team validated their virtual model using foam block experiments and actual patient outcomes, creating a bridge between controlled testing and clinical reality.

But here's the real kicker – this research could transform how we test medical devices, potentially reducing the need for extensive human trials. We'll discuss how this model handles different implant designs and surgical variations and what it means for the future of orthopaedic device development.

Join us as we explore the intersection of virtual testing and real-world medicine!

Maquer G, Mueri C, Henderson A, Bischoff J, Favre P. Developing and Validating a Model of Humeral Stem Primary Stability, Intended for In Silico Clinical Trials. Ann Biomed Eng. 2024 May;52(5):1280-1296. doi: 10.1007/s10439-024-03452-w

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15 episoder

Artwork
iconDel
 
Manage episode 456979074 series 3608409
Innhold levert av InSilicoUK. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av InSilicoUK eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Ever wondered how we can make shoulder replacements safer without endless clinical trials? In today's episode, we dive into groundbreaking research that's revolutionising orthopaedic device testing through virtual simulations. We'll explore how researchers have developed a sophisticated computational model that predicts when shoulder implants might loosen – a critical concern in shoulder replacement surgery.

What makes this study fascinating is its dual-validation approach, which combines laboratory tests with real-world clinical data. We'll unpack how the team validated their virtual model using foam block experiments and actual patient outcomes, creating a bridge between controlled testing and clinical reality.

But here's the real kicker – this research could transform how we test medical devices, potentially reducing the need for extensive human trials. We'll discuss how this model handles different implant designs and surgical variations and what it means for the future of orthopaedic device development.

Join us as we explore the intersection of virtual testing and real-world medicine!

Maquer G, Mueri C, Henderson A, Bischoff J, Favre P. Developing and Validating a Model of Humeral Stem Primary Stability, Intended for In Silico Clinical Trials. Ann Biomed Eng. 2024 May;52(5):1280-1296. doi: 10.1007/s10439-024-03452-w

  continue reading

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