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Accelerating Digitalization in Healthcare with the InSilicoTrials Cloud-Based Platform: Four Use Cases
Chiara Nicolò1, Fianne Sips2, Cristina Vaghi1
1InSilicoTrials Technologies S.P.A, Riva Grumula 2, 34123, Trieste, Italy.
In silico trials offer a powerful alternative to traditional testing, reducing the need for costly experiments and animal or human studies. This technology streamlines medical product development and evaluation through virtual patient simulations.
Area of Science:
- Computational biology
- Medical device engineering
- Pharmacology
Background:
- In silico trials are emerging as a key component in medical product development and regulatory assessment.
- Computational approaches offer advantages in testing drug candidates and medical devices, potentially reducing reliance on traditional experimental methods.
Purpose of the Study:
- To demonstrate the utility of the InSilicoTrials.com platform through diverse use cases.
- To showcase how in silico methods can enhance preclinical and clinical evaluation processes.
Main Methods:
- Utilizing a cloud-based platform hosting healthcare simulation tools for various evaluations.
- Applying in silico approaches for drug-induced cardiotoxicity risk assessment.
- Reproducing bench tests for transcatheter heart valve safety evaluation.
- Generating virtual patients for treatment effect analysis in multiple sclerosis and prostate cancer.
Main Results:
- In silico methods can improve early preclinical assessment of drug-induced cardiotoxicity.
- Virtual reproduction of bench tests enables safety assessment of medical devices like transcatheter heart valves.
- Virtual patient models facilitate evaluation of treatment effects for complex diseases.
Conclusions:
- The InSilicoTrials.com platform effectively supports diverse in silico trial applications.
- In silico trials present a viable strategy to refine, reduce, or replace traditional experimental studies in medical product development.
- This technology holds significant potential for advancing healthcare simulations across various disease areas.
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