{
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  "euct": "2024-516022-63-00",
  "title": "Innovative Imaging and Cognitive BIOmarkers to Predict Huntington's Disease Progression",
  "publicTitle": "Innovative Imaging and Cognitive BIOmarkers to Predict Huntington's Disease Progression",
  "fullTitle": "I2BIO-HD. Innovative Imaging and cognitive BIOmarkers to predict Huntington’s Disease progression",
  "shortTitle": "APHP210360",
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  "startDateEU": "2024-03-21",
  "decisionDate": "2024-11-06T17:16:25.757",
  "publishDate": "2025-09-18T03:52:54.731432746",
  "trialRegion": "EEA",
  "trialRegionCode": "1",
  "medicalConditions": [
    {
      "name": "Patients with symptomatic and pre-symptomatic Huntington's disease",
      "rareDisease": true
    }
  ],
  "therapeuticAreas": [
    {
      "code": "16",
      "name": "Diseases [C] - Congenital, Hereditary, and Neonatal Diseases and Abnormalities [C16]"
    }
  ],
  "trialCategory": {
    "phaseCode": "5",
    "categoryCode": "2",
    "lowIntervention": false
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    "estimatedEndDate": "2028-01-21",
    "estimatedGlobalEndDate": null
  },
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      "name": "France",
      "publicStatusCode": "4",
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        {
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          "status": "Authorised",
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        }
      ]
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          "decisionDate": "2024-11-06T17:16:25.757",
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        {
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          "mscName": "France",
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      ]
    },
    {
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      "submissionDate": "2025-09-17",
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          "decisionDate": "2025-09-17T16:31:55.82",
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      ],
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        {
          "countryName": "France",
          "mscName": "France",
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          "decisionDate": "2024-11-06",
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          "assessmentOutcomeDate": null,
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        }
      ]
    }
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    {
      "id": "evidence:2a8004d579050ca63430be7a",
      "path": "authorizedApplication.authorizedPartI.trialDetails.trialInformation.endPoint.secondaryEndPoints[1].endPoint",
      "term": "machine learning",
      "snippet": "Identification of the best biomarkers predicting an unfavorable disease course will be carried out using conventional regression and machine learning methods. Discrimination and calibration performances will be systematically evaluated and compared for each of the models constructed."
    }
  ],
  "official": {
    "retrieveUrl": "https://euclinicaltrials.eu/ctis-public-api/retrieve/2024-516022-63-00",
    "publicUrl": "https://euclinicaltrials.eu/ctis-public/view/2024-516022-63-00?lang=en"
  },
  "slug": "2024-516022-63-00",
  "firstObservedAt": "2026-07-23T11:19:41.794Z",
  "lastObservedAt": "2026-07-23T13:03:56.000Z",
  "dateModified": "2026-07-23",
  "materialFingerprint": "d620f64326d33257ab203068b44465dbdb63ec4251b703ac4d7759872d45bc5d"
}