Date: Wednesday, July 30, 2025, 11:00-12:00 ET
In silico safety assessment of neural interfaces
Presenter: Esra Neufeld, PhD, Antonio Mario Cassarà, PhD, & Javier García Ordóñez, PhD
The IT’IS Foundation
About the Seminar
We're pleased to invite you to our upcoming seminar on July 30th at 11 am ET entitled In Silico Safety Assessment of Neural Interfaces.
In silico evidence on safety and effectivity is becoming increasingly accepted – and even requested – in medical device regulatory submission. However, it must be supported by thorough verification, validation, and uncertainty quantification to establish confidence in the results.
Our seminar will present and discuss a recently established in silico assessment pipeline and its application to a generic vagus nerve stimulation interface. The pipeline was realized using the o²S²PARC platform – the powerful, open-source, cloud-based platform for collaborative and FAIR modeling developed as part of the NIH SPARC program – and the application example leverages histological data from SPARC researchers.
Key topics of the seminar will include:
• Histology-based modeling of neural interfaces: electromagnetic dosimetry, induced heating, neural responses, and damage predictors
• Systematic variability and modeling uncertainty quantification
• Multi-goal device design optimization that considers safety, effectivity, and power efficiency
• Using surrogate-based metamodeling to efficiently explore high-dimensional parameter spaces
• o²S²PARC functionalities that support all of the above
If you are curious about in silico methodologies, neural interface simulations, or regulatory-grade modeling, join our Seminar. And don’t miss this chance to discover how SPARC tools can support the design and safety assessment of next-generation neural interfaces! See you soon!
The video is now available on the SPARC YouTube Channel.
| Research | Contributions |
|---|---|
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New publication Highlights the Power and Versatility of o²S²PARC [Publication Link] |
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Learn more about o²S²PARC [Project Link] |
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'Model Intelligence' HyperTools on o²S²PARC [Tutorial Link] |
