Excellent Innovation: In Silico tool for predicting resilience in women diagnosed with breast cancer

EXCELLENT_INNOVATION_IN_SILICO_TOOL_FOR_

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Breast Cancer

EUROPEAN COMMISSION - An excellent innovation: "In silico tool for predicting resilience in women diagnosed with breast cancer"

Key Innovator: Institute of Communication and Computer Systems (ICCS), School of Electrical and Computer Engineering (SECE), National Technical University of Athens (NTUA), In Silico Oncology and In Silico Medicine Group https://www.in-silico-oncology.iccs.ntua.gr/

The innovation has been based on multiscale and multidisciplinary clinical, biological, psychological, functional and societal data produced by the BOUNCE project prospective clinical study in conjunction with sophisticated artificial intelligence (AI) and advanced biostatistics approaches. The BOUNCE project website is accessible at https://www.bounce-project.eu/ .

A practical use of the predictive models is to prescribe adequate and timely interventions (e.g. psychological support) following breast cancer treatment, if and when this is predicted to be necessary.

The action (workpackage) of the BOUNCE project entitled "Development of the Predictive Breast Cancer Resilience Computer Models" is led by Research Professor G. S. Stamatakos, ICCS, SECE, NTUA and Member of the Board of Trustees, Virtual Physiological Human Institute (VPHi, https://www.vph-institute.org/ )

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