囊性纤维化患者中的COVID-19抗体应答

该数据集来自clinicaltrials.gov,为一项针对囊性纤维化患者(pwCF)的前瞻性纵向队列研究,涉及对参与者的重复连续采样

Queen's University, BelfastQueen's University, Belfast
clinicaltrials
浏览 11
文本预测Covid19Cystic FibrosisCOVID-19
COVID-19 Antibody Responses In Cystic Fibrosis

基本信息

模态
文本
任务类型
预测
创建/更新时间
2026-10-12

资源简介

囊性纤维化患者中的COVID-19抗体应答

该数据集来自clinicaltrials.gov,为一项针对囊性纤维化患者(pwCF)的前瞻性纵向队列研究,涉及对参与者的重复连续采样。研究旨在提供随时间变化的SARS-CoV-2血清阳性率变化及其对pwCF临床影响的全面信息,在参与的中心开展为期3年,纳入儿童和成人pwCF,参与者随访24个月,在常规就诊时采集血样。可用于分析COVID-19抗体应答、血清阳性率动态变化及临床影响(来源 clinicaltrials.gov)。

【数据内容】

源站描述(机器翻译,仅供参考):条件:Covid19,Cystic Fibrosis。这是一项针对囊性纤维化患者(pwCF)的前瞻性纵向队列研究,涉及对参与者的重复连续采样。选择该研究设计是为了提供关于SARS-CoV-2血清阳性率随时间变化以及随后对pwCF临床影响的全面信息。该研究将在参与的CF中心进行,为期3年。研究参与者将包括儿童和成人pwCF。对于该研究的英国部分,欧洲囊性纤维化协会-临床试验网络(ECFS-CTN)的英国研究者将被邀请参与。参与的研究者可在12个月内招募所有符合条件的pwCF。随后对参与者进行24个月的随访。参与者将在其常规门诊就诊时捐献血样。血样将在第0天(基线)、第6、12个月采集

【主题与分类】

主题标签:Covid19、Cystic Fibrosis。本站分类:呼吸系统疾病/其他。

【获取与许可】

源站页面:https://clinicaltrials.gov/study/NCT04863573

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

免登录

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

免费样本无法满足模型训练要求?千方提供经三甲医院脱敏、带病理回证与专家标注的商业级专病数据集。

使用方式

数据集获取

源站:https://clinicaltrials.gov/study/NCT04863573

标准获取流程:

  1. 访问源站链接,注册/登录账号;
  2. 进入数据集详情页,按页面指引申请权限或直接下载;
  3. 部分平台提供 SDK,例如:
    • OpenDataLab: pip install openxlab 后 openxlab.dataset.get(...)
    • ModelScope: pip install modelscope 后 modelscope download
    • 天池: 登录后页面提供直链下载
      以源站「数据下载/使用文档」页面为准。

数据说明

Conditions: Covid19, Cystic Fibrosis. This is a prospective, longitudinal cohort study in people with Cystic Fibrosis (pwCF) that involves repeated serial sampling of participants. This study design was chosen to provide comprehensive information on SARS-CoV-2 seroprevalence changes over time and the subsequent clinical impact on pwCF. The study will be conducted at participating CF centres over a 3-year period. Study participants will include paediatric and adult pwCF. For the UK section of the study, UK investigators in the European Cystic Fibrosis Society-Clinical Trials Network (ECFS-CTN) will be invited to participate. Participating investigators can enrol all eligible pwCF over a 12-month period. Participants are then followed up for 24 months. Participants will donate blood samples at their routine clinic visits. Blood samples will be collected at Day 0 (baseline), at Months 6, 12, 18 and 24 (to coincide with routine clinical reviews). Additional blood samples will be taken opportunistically every time the participant visits the clinic for blood draws. These blood samples could be related to, routine care, annual review visits, pulmonary exacerbations (PEx), CF complications or when initiating new treatments (e.g. CFTR modulators). Serum from blood samples will be shipped to a central laboratory (Queen’s University Belfast) for standardized measurement of SARS-CoV-2 antibodies. Alongside the blood samples the investigators will also collect clinical data from the patient’s health records and will input this data into the case report form (CRF). Clinical data will be collected in conjunction with routine care visits, according to local clinical practice. Investigators will collect data elements from information routinely recorded in the patients’ medical records. Data will be collected at baseline, month 6, 12, 18 and 24 as per the study schedule, and at additional blood sampling timepoints as previously explained above. Data collection will include routine data available from CF clinic follow-ups

数据加载示例(图像类)

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

需要用于商业化训练或医疗器械注册(NMPA/FDA)?

公开数据往往缺乏完整的病理回证与专家标注。千方医数集依托陕川双基地与超十家三甲医院直连,提供完全合规、去标识化、支持注册级质控的专病数据集交易服务。