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Clinical Application Engineering 

Clinical application of in silico solutions

The combined power of advanced computer models, computational resources and application-specific solutions are enabling the clinical community to embrace in silico solutions, delivering safer and more effective treatments to their patients.

Enhancing Clinical Outcomes with Simulation

Clinicians are increasingly turning to extensively validated computer models of patient-specific surgical procedures to provide critically important insights during pre-surgical planning. At the same time, regulatory authorities are encouraging the addition of digital evidence to reduce, refine, and replace traditional sources of evidence. Application-specific solutions are accelerating in-clinic adoption.  

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    Regulatory Approval
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    Clinical Applications
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    Medical Diagnosis
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In Silico Medicine is Transforming Nearly Every Aspect of Health Care

Silico Medicine

Regulators Are Accepting the Use of Digital Evidence

The ability to complement clinical trials with in silico generated data, known as in silico trials, has now been demonstrated and the journey is accelerating.

Medical Diagnosis Is on the Verge of an Exciting New Era

The Personal Digital Avatar – based on extensively validated patient models – assists clinicians in predicting the evolution of pathologies, ushering in the era of personal, predictive and preventive medicine.

Clinicians Are Enjoying Unprecedented Ease and Speed in Evaluating Surgical Procedures

Validated patient-specific models in an application-specific solution enable clinicians to rapidly evaluate surgical procedures and test different protocols in advance.


Many in vitro and in vivo tests can now be reduced, refined and sometimes replaced (3Rs) using validated, physics-based simulations. Computational models of cardiovascular, orthopedic and respiratory surgeries provide key insight during surgical planning.

In addition, combining traditional CAE methods with biological models can predict MRI compatibility or the evolution of a wide range of pathologies, including stenosis growth, respiratory pathologies, and healing of orthopedic fractures.

Leveraging Engineering Simulation to Fast-Track Personalized Healthcare

When it comes to healthcare, “one size fits all” will soon be replaced with personalized solutions.

personalized healthcare

Custom-tailored healthcare will provide better care at a lower costs.

Engineering simulation provides a cost-effective, rapid and straightforward solution for modeling patients’ bodies and designing devices that interact optimally with the body.

As engineering simulation becomes more widely used in the medical sector, a new approach to patient care – and to medicine itself – will emerge. Thanks to embedded and wearable technology, digital twins will soon be the norm not just for systems or machines but for people. Devices will monitor vital signs, blood sugar, blood pressure and more, alerting doctors and patients when something is wrong. As technology improves, these digital twins will even be able to predict health concerns before they arise.

The idea of using simulation and big data to monitor patients in real time is not as futuristic as it seems. Simulation is already making inroads into the medical sector and participatory, personalized, predictive and preventive (P4) medicine is gradually becoming reality.

Redefining the Clinical Experience

To accelerate the deployment of simulation-based solutions to the clinical community, the leading medical device and pharma companies, in collaboration with the regulatory and the simulation industry, have developed best practices that can dramatically reduce cost and time to market while maximizing patient safety.

Virtual human lab

A ‘Virtual Human Laboratory’ offers advanced testing capabilities without risk.

Creating and validating virtual anatomic models enables companies to test their prototypes under realistic physiologic conditions.


A Personal Digital Avatar of each human being will one day be the norm.

Medicine of the future will be defined by a participatory, personalized, predictive and preventive (P4) approach based on digital twins powered by smart devices.


Regulators are beginning to accept digital evidence and credibility is key.

Development of verified and validated models are key to addressing regulator concerns about the new forms of digital evidence that simulation provides.

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