All year round, scientists, doctors and biologists are continuing their work to win victories in this fight. The resources of Genci's #JeanZay #supercalculator, hosted and operated by the #IDRIS CNRS - Centre national de la recherche scientifique are mobilized in this fight against #cancer, and more broadly in research against serious diseases.
The use of #ArtificialIntelligence methods, supported by the computing power of this machine, is therefore an absolutely decisive tool in the service of #health.
A project carried out within benefits from 10,000 hours of computing to carry out numerical simulations making pathology modeling more efficient. In particular, it aims to improve the technique of segmenting breast tumors in 3D using the #deeplearning method.
Another of these projects, also carried out within the Institut Curie, benefiting from 5,000 hours of computing, aims to make more exhaustive predictive use of the content of images obtained in molecular imaging by Positron Emission Tomography (PET). The aim is to contribute to the development of precision medicine: a better understanding of the underlying mechanisms of cancer, more precise prognosis,
more accurate prediction of response to treatment. The possibilities offered by Artificial Intelligence contribute to the calculation of original biomarkers from the analysis of PET images, to the characterization of the molecular mechanisms they reflect, and to the identification of better understood, prognostic and predictive molecular phenotypes.
#OctoberRose is coming to an end, but let's keep up the fight against cancer!