We engage with data providers to collect training data for those data driven tools for precision health that will best meet the needs of current and future clinical practice.

The priorities for data acquisition are continuously set by the AIDA clinical council based on current data hub composition and identified clinical needs.

The AIDA Data Hub can fund work with extracting prioritized data for sharing on the AIDA Data Hub. Please contact the data sharing team for proposals for data extraction, or to suggest further data acquisition topics.

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Priorities

Approved: 2024-04-24

  1. CT bulk examinations of brain, thorax, abdomen.
  2. PET-CT bulk examinations of thorax and abdomen with 18F-FDG tracer.
  3. Lymph nodes. Radiology and pathology.
  4. Basal cell cancer whole-slide imaging, eg for identifying nonradical excisions.
  5. Prostate. MRI and pathology.
  6. Wrist, shoulder, knee, foot, and elbow fracture CT and CR.
  7. PD-L1 pathology data in non-small-cell lung cancer (NSCLC).
  8. Radiography data for AI classification of atypical femoral fractures.
  9. Head CT.
  10. MRI data, for real-time adaptive radiotherapy (RT-ART)
  11. MRI and histology of excised meningioma tumor samples
  12. Breast cancer histology data.
  13. Hip femoralis nerve ultrasound data.
  14. Small datasets containing synthesized clinical imaging data.
  15. Pathology and radiology data from glioma, such as GBM and pHGG.
  16. Hyperspectral images of skin tumors.

Contact

Our data sharing team:

 Betul Eren
Data Sharing Lead
Data sharing, Policy support, Management, System development
Joel Hedlund
Head of AIDA Data Hub
Management, Policy support, System design support, Data sharing, Economy

Please contact us for support or more information!

See also