Academic Partner

FCiências.ID (FC.ID) is a Non-Profit Private Association, a joint initiative between Faculdade de Ciências da Universidade de Lisboa (CIENCIAS) – a Higher Education institution – and six private companies, to support, potentiate and develop Research and Development activities of its associates. FCiências.ID is the legal representative of 19 CIENCIAS research centres, covering all CIENCIAS scientific fields, such as Statistics. FCiências.ID provides the administrative and financial R&D support of the Centre of Statistics and its Applications (CEAUL). Since its inception in 1975 it represents the largest and strongest research group in Probability and Statistics operating in Portugal. CEAUL’s members’ activities span interdisciplinary research across diverse areas of basic and applied sciences, including Health, Life Sciences, Forest Fires, Ecology, Quality Control, Insurance and Financial Risk, Environment and Machine Learning. CEAUL’s mission is to: 1) conduct fundamental research in its areas of excellence and to keep up with the recent advancements in Statistical Science; 2) promote participation of its members in interdisciplinary national and international projects; 3) engage with the Society as a whole by giving technical support to Industry, Commerce, Services and Business; 4) provide advanced training via its PhD programs and to organize advanced courses in emerging areas within Statistical Science and 5) foster integration of talented young scholars in Science. FC.ID and its affiliated institution CIENCIAS will be responsible for statistical analysis of the clinical trial and will contribute to all other workpackages. Marilia Antunes collaborates actively with CF in clinical trials where her expertise is highly valued. Marilia is also a survivor from a breast cancer treated some years ago. Her contribution has been precious to the design of the trial using her own experience as a background.

Partner Team Members

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This project has received funding from the European Union's Horizon Europe research and innovation programme under Grant Agreement number 101057389