Artificial intelligence and machine learning are powerful tools that enable complex analysis on large-scale datasets, with great potential to advance precision cancer medicine. Advances in the diagnosis and treatment of pediatric oncology will require multinational, multidisciplinary and integrated healthcare and research data platforms that enable real-world data simulations of machine learning and artificial intelligence algorithms that can be exploited in data-driven clinical decision support applications that directly benefit patients.
Expected impact:
The project will support research, innovation and collaboration on artificial intelligence technologies applied to the diagnosis and treatment of paediatric cancers. Project outcomes are expected to cover a representative range of stakeholders and solutions in EU/EEA countries, with a particular focus on patients, carers and survivors. The project should link and collaborate with relevant stakeholder groups and EU initiatives (including the European Paediatric Oncology Reference Network, ERN PaedCan and the European Platform for Rare Disease Registry (EU RD platform) and build on other EU-funded projects (Paediatric Rare Tumour Network – PARTNER project).
The project should focus on several applications, e.g. radiological imaging, digital pathology, digital twins, integrated genotyping algorithms, outcome prediction and clinical decision making. The project should take into account the specificities of paediatric cancer, for different tumour types and stages.
Deadline for applications: 3 August 2021
Find out more HERE.
Source: RDA North-East Brussels Office
