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Update pages/your_domain/cancer_data.md
Co-authored-by: Gil Poiares-Oliveira <gil.oliveira@tecnico.ulisboa.pt>
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pages/your_domain/cancer_data.md

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@@ -101,7 +101,7 @@ Managing cancer data for diagnosing and determining the best treatment for local
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### Considerations
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* Are all clinically relevant variables collected using standard vocabularies across data domains, including socio-demographics, risk factors, and tumour-specific metadata (e.g. Tumour- Nodes-Metastases (TNM) stage, histology, genomic alterations)?
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* Are all clinically relevant variables collected using standard vocabularies across data domains, including socio-demographics, risk factors, and tumour-specific metadata (e.g. Tumour-Nodes-Metastases (TNM) stage, histology, genomic alterations)?
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* Are diagnostic data and images stored in standardised formats (e.g. {% tool "dicom" %} for imaging, {% tool "vcf" %} for genomics) to allow long-term usability and reanalysis?
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* Is there a data management system in place to ensure interoperability between different data types (e.g. imaging, molecular, and health records)?
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* Are there AI-based tools or decision-support systems integrated into the workflow to assist oncologists in making diagnostic decisions?

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