In Silico Medicine for Modelling and Simulation of Medical Devices
|Start Time||End Time|
|22 Jun 2023, 5:30 AM EDT||22 Jun 2023, 6:30 AM EDT|
|22 Jun 2023, 9:00 AM EDT||22 Jun 2023, 10:00 AM EDT|
|22 Jun 2023, 2:00 PM EDT||22 Jun 2023, 3:00 PM EDT|
The validation and clinical evaluation of medical devices can be performed using living animals or humans, but this is expensive, time-consuming, and sometimes even risky to the test subjects. Alternatively, the testing can be conducted with tissue-mimicking phantoms or in vitro, which can reduce time and costs but does not accurately reflect a real human.
The question then arises: is it possible to eliminate the drawbacks of time, costs, and possible safety risks while maintaining the advantages of in vivo evaluation? One way to do this could be In Silico Medicine, which refers to the use of virtual human models to replace their physical counterparts in testing of new medical devices.
In Silico Medicine uses computational models and simulations to develop medical devices and pharmaceuticals. This webinar explains how you can leverage in silico medicine in the research and development of next-generation medical devices while reducing development time and costs.
- In silico medicine uses computational models and simulations to replicate human anatomy, physiology, and biological processes
- The virtual human models can be used in the design and testing of new medical devices
- Manufacturers using in silico medicine benefit from accelerated research and development cycles while ensuring the quality and safety of their products
Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can't make it for the live broadcast, register and we will send you a link to watch it on-demand.
About the Presenter
Dr. Visa Suomi is the Medical Devices Industry Manager at MathWorks. He has over 10 years of international experience in the life sciences and healthcare sector, with an interdisciplinary background from the medical technology industry, academia, and clinical research. He holds a doctoral degree (DPhil in Healthcare Innovation) from the University of Oxford, UK, with the focus on translating academic and clinical research into commercial applications.
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