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March 13, 2017
In September 2016, I wrote about the medical digital twin concept. I continue to read numerous articles showing confidence that we are indeed on our way towards the medical digital twin. One particular article from the BBC nicely described how our heart digital twin could prevent its failure.
If everybody agrees this is the direction we need to follow, many think that the medical digital twin is a concept way ahead in the future.
I slightly disagree as there are 3 major on-going initiatives paving the way to the medical digital twin likely to reach key milestones in the foreseeable future:
Medicine is becoming personalized. Soon, all of us will be under permanent intense care. All our vital and non-vital parameters will be continuously monitored. But the bioelectronic market still need 5 key innovations.
1. Wearable monitoring and diagnosis equipment requires measurement of target parameters in a reliable and repetitive way
2. Energy efficiency to prevent the replacement or recharge of batteries
3. Signal interference, signal integrity and cyber security of wearables
4. Patient safety and compliance with strict regulations
5. Software and a simple interface that would be able to treat patient data and synthesize them in crisp recommendations for the patient
Although this list may look intimidating, amazing progresses are reported every day. Innovation should just be faster.
Whether this is for designing the next wearable, new drug delivery processes or simply hospital beds, the product development process is often “under-digitized”. Computer Model and Simulation (CM&S) is used pervasively to cost effectively design products across all industries including leading medical devices companies that have reported dramatic acceleration and return on investment exceeding 1 to 30. There are a few reasons why smaller companies have not yet fully embraced complete digital prototypes:
Testing defibrillator of
Human Body Modeling
Fortunately, every year more and more companies adopt simulation.
The long and painful, but necessary, regulatory approval process is really what is preventing innovations to reach the patients faster. Conscious of this problem, but unwilling to compromise with patients’ safety, legislators and regulators are looking for alternative solutions such as complementing clinical trials with preliminary tests on computers, a.k.a. in silico clinical trials.
But we are still facing some difficulties:
Getting enough confidence in engineering simulation for healthcare applications is the primary challenge on the way to medical digital twin. I’d like to acknowledge the phenomenal work of a group of medical and modeling experts under the supervision of the FDA which is defining the concrete steps necessary to properly verify that the models properly solve the equations and validate that these computer models adequately represent the reality.
The “Verification and Validation 40” document will be released within the next few months. It will facilitate the large scale adoption of complete digital prototypes that will accelerate the pace of innovation and reduce the time for regulatory approval making personalized medicine a reality faster than through a traditional approach.
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