CLINICAL_TRIALS ClinicalTrials.gov record update

Deep Learning Radio-clinical Signatures for Predicting Neoadjuvant Chemotherapy Response and Prognosis From Pretreatment CT Images of LAGC Patients

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Record identity and dates

Source: ClinicalTrials.gov
Source record ID: NCT05617469
Title field or adapter rule: protocolSection.identificationModule.officialTitle
Ingested At: 2026-04-28T10:38:54.540327+00:00
Published At: 2022-11-15T00:00:00+00:00
Record Updated At: 2022-11-15
Timestamp Basis: source retrieval time was not retained by the feed adapter
Date limitation: source retrieval time was not retained by the feed adapter

protocolSection.conditionsModule.conditions: ["Gastric Cancer", "CT Images", "Deep Learning", "Neoadjuvant Chemotherapy", "Tumor Regression Grade"]
protocolSection.statusModule.lastUpdatePostDateStruct.date: "2022-11-15"
protocolSection.identificationModule.nctId: "NCT05617469"
protocolSection.identificationModule.officialTitle: "Deep Learning Radio-clinical Signatures for Predicting Neoadjuvant Chemotherapy Response and Prognosis From Pretreatment CT Images of LAGC Patients"
protocolSection.statusModule.overallStatus: "UNKNOWN"
protocolSection.designModule.phases: []
protocolSection.statusModule.resultsFirstPostDateStruct.date: ""

Intervention details are not present in the imported fields for this record. No drug-condition relationship is inferred from co-listing.

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