Health tech companies
Interested in exploring, integrating or adopting the tools developed within the project, bringing them closer to real-world application and sustainability
Conducting research on rare cancers is difficult because data are scarce and scattered across several clinical centres. Researchers would benefit from being able to analyse data collected by many of them, but this is challenging due to a lack of interoperability and strict privacy regulations that limit data access and sharing.
To overcome these challenges, IDEA4RC has developed new digital tools that now require collaboration with the health IT community to bring them closer to real-world application and ensure their long-term sustainability.
If you wish to join the IDEA4RC data ecosystem and make it sustainable in the long-term
.
JOIN THE COMMUNITY!
Click on the cards below to discover more about the six components developed by IDEA4RC as part of its collaborative rare cancers data ecosystem.
Lets researchers securely define, query, and count patient cohorts across distributed data using FHIR
Web-based integrated development environment
for collaboratively designing, training, evaluating, and deploying biomedical ML models
Semi-automatically evaluates tabular healthcare data quality, identifying inconsistencies, missing values, and anomalies affecting integrity
For the preparation, submission, and evaluation of data access applications for federated learning
Enables rare cancer patients to share data with dynamic consent, blockchain logging, and chatbot support