CFTR调节剂治疗下囊性纤维化患者的运动研究

数据集获取

源站：https://clinicaltrials.gov/study/NCT06322446

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: Cystic Fibrosis. Specific objectives 1. To determine the effects of a strength exercise intervention in a group of children and adolescents with cystic fibrosis treated with new generation CFTR modulators on: (1.i) peripheral muscle strength; (1.ii) respiratory muscle strength; (1.iii) muscle mass and (1.iv) biomarkers of muscle damage. 2. To determine the effects of a strength exercise intervention in a group of children and adolescents with cystic fibrosis being treated with new generation CFTR modulators on: (2.i) cardiorespiratory fitness; (2.ii) body composition and (2.iii) lung function. 3. To determine the effects of a strength-based exercise intervention in a group of children and adolescents with cystic fibrosis treated with new-generation CFTR modulators on: (3.i) biomarkers of inflammatory status and (3.ii) expression of associated miRNAs. 4. To determine the effects of a strength-based exercise intervention in a group of children and adolescents with cystic fibrosis treated with the new generation CFTR modulators on the levels of Elexaxcaftor/Ivacaftor/Tezacaftor and their metabolites. 5. To assess the clinical evolution and adherence to exercise after 6 months of the programme in children and adolescents with cystic fibrosis treated with the new generation of CFTR modulators.

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。