Deadline: 01-Nov-2025
The International Centers for Precision Oncology Foundation has launched a new research call to advance precision oncology by integrating artificial intelligence.
The objective is to support the development of methodologies for curating and standardizing theranostics datasets, both imaging and non-imaging, by producing a structured database framework and annotation approach. This call focuses on the creation of data models, curation standards, and maintenance methods, without the collection or sharing of data at this stage. Any indication relevant to theranostics can be included.
High-quality, standardized dataset frameworks are essential for training and testing AI-based prediction models. The ICPO’s role in this process is to orchestrate it, providing funding and Scientific Advisory Board (SAB) guidance without owning or holding any data. Data and rights remain with the grant recipients’ centers. This initiative addresses current funding gaps around annotation methodologies and reference standards.
The expected outcomes are methodologies that enable automated structuring and annotation of unstructured theranostics data, including provisions for maintenance. Additionally, a theranostics-specific structured format or framework that is fully annotated, standardized, and transferable between centers is expected, with transparent access for ICPO partners and collaborators. Grant recipients in the first year must deliver such a structured format.
Applications are invited exclusively from academic institutions. The maximum funding available per project is €100,000. The Principal Investigator must hold a relevant PhD degree or be an MD. The application requires a detailed research proposal, a letter of intent or cover letter, and a current Curriculum Vitae of the PI. The deadline for applications is November 1st, 2025. Note that no hardware may be funded under this call.
For more information, visit ICPO.
