用于内分泌、心血管代谢与肌肉骨骼疾病研究的实验室检测及研究技术常规验证与可重复性测试（VALD）

数据集获取

源站：https://clinicaltrials.gov/study/NCT07083557

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: Obesity and Obesity-related Medical Conditions, Diabetes, Atherosclerotic Disease, Heart Failure, MASH, Sarcopenia, Osteoporosis, Hyperparathyroidism. The purpose of this research study is to validate (check the accuracy of) laboratory assays, intravenous catheter insertion, and equipment or devices and their reproducibility, which is necessary to perform high quality research on chronic diseases, nutrition, and metabolism (the process by which a substance is handled in the body) at the University of Missouri. As technology changes and uses new testing methods, it is necessary to compare results from old tests, equipment and devices and new tests, equipment, or devices and the reproducibility of these measurements to make sure the results are accurate. Reproducibility means performing the same test more than once to see if the same results can be achieved each time. This study will look at the validation and reproducibility of tests and laboratory assays in participants who are healthy or affected by relevant endocrine, cardiometabolic, and musculoskeletal disorders.

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。