devices in a more realistic environment than can be represented in bench testing, and one which is ‘more efficient than animal testing’, according to Steven Levine, senior director of virtual human modelling and life sciences at Dassault Systèmes. ‘Current generations of

medical devices are relatively simple, largely due to the difficulty developing and testing complex devices. Bench testing and animal models have limited use when human behaviour is involved, while actual testing on humans through clinical trials is expensive,’ Levine said.

”Creative designs can be explored and tested in ways that could never be done using physical testing”

As a result, only a limited

range of capabilities can be effectively developed and validated by the regulatory agencies. However, modelling and simulation can create virtual patients for in silico clinical trials with unlimited variability and costs, according to Levine, who said: ‘These patients can be used time | @scwmagazine

and time again, replicating more and more sophisticated human behaviour, allowing development and testing of smarter devices that work more harmoniously with the human body.’ Levine added: ‘Doing

experimentation in the virtual world, the most creative designs can be explored and tested in ways that could never be done using physical testing.’ For example, any medical

device or product that will be embedded in a human body must be tested for MRI safety. Levine explained: ‘This is now routinely done with simulated patients and the

data produced is acceptable to the regulatory agencies. Digital twins representing entire populations are being built that will reduce the time and cost of clinical trials, resulting in more personalised treatments. ‘One day, all medical devices will be fitted to the individual considering not only their physical condition, but also their age, gender, race and genomic profile. This can only be achieved through developing digital twins of patients, by using their electronic medical record and data gathered using mobile health monitoring devices. We call that a 3Dexperience twin,’ Levine added.

October/November 2019 Scientific Computing World 25


Wang An Qi/

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