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In-silico medicine: a new paradigm in modern healthcare emerges in Greece
By Eleni Natsi  |  Jul 02, 2022
In-silico medicine: a new paradigm in modern healthcare emerges in Greece
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The Yuan recently spoke with Dr Georgios S. Stamatakos, father of in-silico medicine, research professor at the National Technical University of Athens, and director of the In-Silico Oncology and In-Silico Medicine Group of ICCS-SECE-NTUA, to find out about this fascinating scientific field.

ATHENS - In-silico medicine (ISM), an emergent scientific and technological domain based on clinically oriented multiscale biomodeling, appears to be on the cutting edge of medical science. The translation of mathematical and computational biological science to clinical practice through the massive exploitation of information technology and artificial intelligence (AI) is expected to significantly improve the effectiveness of treatment in the future, since reliable computer predictions could suggest the optimal treatments for each separate case.

Research Prof Georgios S. Stamatakos in Saarbrücken, Germany in 2019 while collaborating with Prof Νorbert Graf, Medical School, University of Saarland.

The Yuan: As a researcher, how and why were you led to the creation of a new scientific domain, that of in-silico medicine?

Georgios S. Stamatakos: Prompted by the great quantitative discoveries in biology and other physical sciences made before 2000, as well as by the tremendous unmet needs of medicine, I felt it was high time for medicine itself to be metamorphosed into an exact quantitative scientific discipline with parsimonious overarching mathematical principles, methods, models and in-silico simulations - in other words, simulations on the computer - pretty much like conventional physics. 

Such an approach would have been directly applicable to the natural phenomena involving the living matter of patients before, during and after medical interventions. The development and the personalized parametrization of medical simulators - digital twins - such as the proposed oncosimulator,which would have been based on the previously mentioned conceptual and algorithmic components,

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