Advancing Modeling and Simulation in Medicine
Bringing a new medical device or pharmaceutical to market can be costly and complicated. Manufacturers need to increase speed, quality, and results.
Modeling and simulation has the potential to revolutionize the medical field. The days of building a physical prototype to test each new idea are history. Today, medical device and pharma manufacturers can use computer modeling to eliminate poor designs before they leave development—and refine good ideas before they are implemented with patients. Tomorrow, virtual patient simulations may replace clinical trials.
This technology can accelerate product development and the regulatory submission process, increase patient safety and enhance performance. It balances the need for certainty in device and drug performance while limiting the delay in patient access by using modeling and simulation data and results as valid scientific evidence.
Developers can accurately design and test virtually under various scenarios. Verifying outcomes nearly eliminates the time and significant expense of physical experimentation, rework, and unforeseen failures.
VisualizeMED: Modeling and Simulation in Medicine brings together bioengineering industry leaders to leverage modeling and simulation to accelerate product development and improve the regulatory approval process. The event is uniquely designed to help attendees:
• Increase innovation
• Improve quality
• Expedite speed to market
• Accelerate regulatory approvals
• Increase confidence in models and simulations
• Decrease development costs
• Reduce preclinical and clinical testing
• Improve manufacturing quality and performance
“Modeling and simulation play a critical role in organizing diverse data sets and exploring alternate study designs. This enables safe and effective new therapeutics to advance more efficiently through the different stages of clinical trials.”
-- Scott Gottlieb, Former Commissioner, FDA
“Computer modeling and simulation reduce time and costs and increase the performance of product. The more we observe, the more the more we learn. We learn early, and we learn quick.”
-- Markus Reiterer, Distinguished Scientist, Medtronic