The medical device industry faces many challenges and pressures to reduce development timelines, cut costs and navigate complex regulatory pathways. Traditional development approaches rely heavily on animal testing and extensive clinical trials – processes that can take years to complete and many iteration loops due to failed trials. With new, …
Pediatric cardiovascular medical device development faces a critical challenge: children are not just “small adults.” Their unique anatomies, rapid growth, and vulnerable physiology create hurdles that traditional research and testing methods struggle to overcome. Small patient populations, ethical limits on clinical trials, and high development costs leave most companies focusing …
When One Size Doesn’t Fit All Medical devices should work for everyone—not just for a narrow group of patients. True inclusive medical device design means creating solutions that fit people across age, sex, size, and anatomy. Yet too often, devices are designed and tested on limited datasets, which can lead …
5 Features in v-Patients That Help You Design Devices that Fit More Patients Read More »
Bringing digital twinning software into your medical device development process can seem complex at first. The technology might feel abstract, and introducing new software into your workflow may put you off. However, our team of experts makes sure you are guided through the whole process and can start using the …
What to Expect When Working with Virtonomy: A Guide to Your Digital Twin Journey Read More »
As regulatory frameworks evolve and digital health technologies advance, in silico methods like modeling, simulation, and virtual clinical trials are increasingly positioned to transform cardiovascular device development. In silico clinical trials for cardiovascular devices are high on the list of priorities for regulators such as FDA. Still, despite clear advantages, …
Debunking Myths: What’s Holding Back In Silico Innovation in Cardiovascular Devices Read More »
Key Insights from the Digital.Health Webinar Digital twin technology is rapidly reshaping the healthcare landscape, offering new ways to optimize medical treatments, device development, and patient care. In a recent Digital.Health webinar, industry experts, including Ami Bhatt (Chief Innovation Officer at American College of Cardiology), Simon Sonntag (Co-Founder & CEO …
Read our interview with Pinja Ojanen, Research Nurse at Scandinavian Realheart. Since 2019, Scandinavian Realheart has partnered with Virtonomy, using the v-Patients software to develop their Total Artificial Heart (TAH) for patients with severe heart failure. The v-Patients platform enables Realheart to test and refine the TAH’s anatomical fit in …
Customer Success Story: Developing a Total Artificial Heart (TAH) with v-Patients Read More »
Automated Device Positioning: In our in-silico medical device testing practice what often happens is that we are presented with extensive patient cohort data. The first step often involves segmenting out all the relevant anatomies using a range of automatic to semi-automatic algorithms. What we end up with at this stage …
From the data lab: Automated Device Positioning for Optimal Device Fit in Digital Twins Read More »
In today’s rapidly evolving medical industry, in silico technologies are emerging as a game-changer, driving innovation and helping companies stay ahead. This blog post explores what in silico technologies are and their growing role in transforming research and development processes, particularly for medical device developers. We’ll discuss the significant advantages …
In Silico Testing I: What are In Silico Technologies and Why Invest in Them? Read More »
“Simple Complexity – Tech brought to you by Virtonomy” – Transforming Medical Simulations with Smoothed Particle Hydrodynamics We’re thrilled to kick off our educational series, “Simple Complexity,” where we’ll break down intricate technologies into easily understandable insights. At Virtonomy, we’re passionate about making cutting-edge medical tech accessible to everyone. In …
SPH method: What is it and how is it used for medical simulations? Read More »
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