| Title | Dynamic forecasting of severe acute graft-versus-host disease after transplantation |
|---|---|
| Description | The aGOAT dataset includes vital signs, daily fluid loss (due to diarrhea, vomiting, etc.), complete blood counts (CBC), blood chemistry and electrolytes, blood immune cell profiles (measured by flow cytometry), plasma inflammatory factor levels, etc |
| Organism | Homo |
| Data Type | Mixed |
| Data Accessibility | Open-access |
| BioProject | PRJCA007255 |
| Release Date | 2022-04-21 |
| Submitter | Xueou Liu (liuxueou@ihcams.ac.cn) |
| Organization | Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences |
| Submission Date | 2022-04-21 |
HTTP download speed may be slow. It is highly recommended that you download the dataset using a dedicated FTP tool (such as FileZilla Client).
| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download |
|---|---|---|---|---|---|---|
| OMIX001095-01-01 | aGOAT data | 629 | Clinical information | 4.8 MB | zip |
| Paper Title | Journal Name | Publish Time | Accession | Citing Type |
|---|---|---|---|---|
| Autonomous artificial intelligence prescribing a drug to prevent severe acute graft-versus-host disease in HLA-haploidentical transplants | Nature Communications | 2025-09 | OMIX001095 | Deposit |
| Dynamic forecasting of severe acute graft-versus-host disease after transplantation | Nature Computational Science | 2022-03 | OMIX001095 | Deposit |