IRX5183 治疗复发难治性急性髓系白血病及高危骨髓增生异常综合征研究

数据集获取

源站：https://clinicaltrials.gov/study/NCT02749708

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: Acute Myeloid Leukemia (AML), Myelodysplastic Syndrome (MDS), Chronic Myelomonocytic Leukemia (CMML). This research is being done to learn about the safety and effectiveness of an investigational drug, IRX5183, in treating acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS). IRX5183 is a derivative of Vitamin A. IRX5183 is a drug that is designed to cause cancer cells to mature and then die. It is thought that it will stop the uncontrolled growth of leukemia cells. These are 2 parts to this study. The purpose of the first part is to test the safety of IRX5183 at different dose levels. The investigators want to find out what effects, good and/or bad, it has on AML or MDS. Once the investigators figure out the best and safest dose of IRX5183, the investigators will enter the second part of the study using this dose. The purpose of the second part is to see if IRX5183 is effective as a treatment for AML or MDS. To date, IRX5183 has been used in about 25 people. The first part of the study is called a “Phase I” study. Phase I studies use drugs starting at low doses and slowly increase the amounts of the study drugs that are given to people until the side effects of the drugs are too high to give more. This means that not all people in the study will get the same dose of IRX5183. Doses at the beginning of the study will be lower than doses at the end of the study. Because of the design of the study, some people may get doses that are too low to have an effect, and other people will probably get doses that cause side effects. People with AML, MDS, or CMML that has 1) not responded to standard therapy or 2) has returned after a previous response may join.

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。