Enhance Patient Outcomes and Speed Regulatory Approval

Medical device makers are under increasing pressure to bring innovative new devices to market while at the same time reducing product development time and cost and accelerating the regulatory approval process. Meeting these goals means overcoming challenges such as:

• Increasing medical device effectiveness
• Managing medical device complexity
• Improving the patient/clinician experience
• Reducing reliance on physical (bench/animal/human) testing
• Minimizing risk of adverse events
• Developing personalized treatments
• Demonstrating regulatory compliance of novel device designs
   

Virtual Human Modeling & Simulation allows medical device companies to assess the safety and efficacy of their products within a realistic virtual human environment. It offers detailed models of human organs and systems, such as the heart and musculoskeletal system, and includes tools to modify these models to create patient-specific twins or a large set of virtual patients. By leveraging these capabilities, device manufacturers can reduce the need for animal and clinical testing, speed up the regulatory approval process, and enhance the overall performance of their devices leading to higher-quality products and a stronger competitive edge in the market. 

Using Virtual Human Modeling & Simulation, medical device makers have access to:

• Best in class 3D design, systems engineering, multiphysics and multiscale simulation
• State of the art models and methods to simulate the human body including the Living Heart Model
• Collaborative environment for all engineering participants at all stages of development
• Full digital continuity from device design through validation and across the entire product lifecycle

• Accelerate time to market using a robust modeling and simulation platform with proven workflow automation capabilities
• Reduce the cost of development by replacing bench and in-vivo tests with simulation using realistic models of the human body
• Reduce patient risk by validating the device performance in representative operating conditions across patient variability