The particularity of paediatric cancers being rare diseases necessitates a collaborative approach to collate and integrate the data collected in all member states, including best practices and new technologies in order to further develop common solutions.

The use of big data for better insights in cancer genesis, outcomes and the long-term side effects of treatments is currently under-developed.

Artificial intelligence and machine learning are powerful tools allowing for complex data analytics on large-scale data sets with great potential for fostering precision cancer medicine for all young people in Europe. Further advances in the diagnosis and treatment of paediatric oncology will require multinational, multidisciplinary integrated healthcare and research data platforms that will allow real world data simulations of machine-learning algorithms and artificial intelligence that can be exploited in data-driven clinical decision support applications that directly benefit patients.

Officially opened from: 15.06.2021.
Deadline: 20.07.2021
Total budget: 1.33 M €
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