Champalimaud Clinical Center – CCC
Fundação D. Anna de Sommer Champalimaud e Dr. Carlos Montez Champalimaud (Champalimaud Clinical Center – CCC)
Type: Private Non-Profit Foundation
The Champalimaud Foundation (CF), a private, non-profit organisation, established in 2005 is dedicated to research excellence in biomedical science as well as to the provision of premier patient management. Completed in 2010, the Champalimaud Centre for the Unknown (CCU) is a state-of-the-art centre for basic and translational research, diagnosis and treatment of oncologic, neuropsychiatric and related diseases. Housing the Champalimaud Clinical Centre (CCC) and the Champalimaud Research (CR), with its two programmes Champalimaud Neuroscience Programme (CNP) and the Biology of Systems and Metastasis (BSM) – CF provides a unique environment for cutting-edge research designed to reveal new knowledge and develop scientific solutions to medical problems. The CCC’s multidisciplinary teams focus their activity on the patient, offering care of excellence based on the most advanced technological means. The CCC is organised in multidisciplinary teams including, but not limited to, (i) the Breast Unit, that counts on medical oncologists as Dr Fatima Cardoso (Director) and Dr Berta Sousa, (ii) the Psyco-Oncology Unit, headed by the psycho-oncologist Dr Luzia Travado, (iIi) the Neuropsychiatry Unit, led by Dr Albino Oliveira-Maia, and (iv) the Radiology Service of which takes part Dr Nickolas Papanikolaou and Dr Celso Matos (Head of the Service). The work and research developed at these Units are at the interface between CCC and CR. This close contact promotes excellence in the clinical care that is delivered to patients, while it allows significant research advances in the respective fields.
The CCC at CF will be involved in the proposal as a 4th site for the clinical studies. 50 female breast cancer patients will be recruited in order to evaluate their cognitive profile through neuropsychological assessments, psychosocial questionnaires and other constructs.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 777167
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