In silico tool for predicting resilience in women diagnosed with breast cancer

The BOUNCE project presents its latest deliverable showcasing the use of in silico modeling in personalized cancer treatments

The innovation presented by the BOUNCE consortium is 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 here.

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 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

Date: 25/03/2021 | Tag: | News: 1178 of 1589
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