|European Institute of Oncology, Milan, Italy
|Wednesday, September 23, 2020
On 23rd of September 2020, the European Institute of Oncology (Milan) will present the third dissemination virtual event of the European Project BOUNCE: Predicting Effective Adaptation to Breast Cancer to Help Women to BOUNCE Back.
Italy, Finland, Israel, Greece, and Portugal have been cooperating for 3 years to develop a dynamic, predictive model able to help health care professionals in the medical decision-making process. The model will provide concrete and personalized recommendations regarding patients’ abilities to cope with cancer and contributes to the identification of the best psychosocial support strategies.
In recent years, the scientific literature has been studying the capability to mobilize and use internal and external resources over time in the face of adversity in order to maintain or promote wellbeing. This complex process of successful adaptation to breast cancer and related stressors has been defined as a person’s resilience.
The BOUNCE project has actively contributed to the identification of factors and processes that may predict along the care pathway the patients’ resilience and their wellbeing. The collection of biomedical, psychological and functional data will provide information on which combination of factors undermines the adjustment to cancer, allowing early identification of women at risk.
During the third dissemination annual meeting, the Bounce Consortium will present the advancement in the construction of the predictive model and discuss its utility and future implementation within medical decision-making processes.
All this will occur within the scientific frame of personalized and precision medicine, where biological, psychological, and social factors need to start a conversation with the help of mathematical algorithms.
The aim of the event will be to increase the visibility of Bounce predictive model and to generate interest on and discussion with different stakeholders on its utility and future implementation within medical decision making processes.
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