Data Sources
Source overview
| Type | Source | Used for |
|---|---|---|
| Registration data | CDSCO | Approved drug list and ingredients for India |
| Prediction model | TxGNN | Drug–disease association prediction |
| Clinical trials | ClinicalTrials.gov | Evidence grading (NCT) |
| Literature | PubMed | Evidence grading (PMID) |
| Drug information | DrugBank | Ingredient mapping and target data |
| Interactions | DDInter | Drug–drug interaction data |
Licensing
Each source has its own licence — please check before citing:
- TxGNN: academic use; cite Huang et al. (2023)
- ClinicalTrials.gov / PubMed: US NIH public data
- DrugBank: non-commercial use subject to its licence terms
- CDSCO: subject to the open data terms of the India regulator
Update frequency
| Data | Frequency |
|---|---|
| Registration data | As published by the regulator |
| Trial / literature evidence | Re-collected periodically |
| Interaction data | Reviewed quarterly |
Academic citation
Huang, K., et al. (2023). A foundation model for clinician-centered drug repurposing. Nature Medicine. DOI: 10.1038/s41591-023-02233-x
About the Developer
This platform is developed and operated by 藥提醒科技有限公司 (yao.care, company registration number 83620786, 12F, No. 220, Sec. 2, Taiwan Blvd., West Dist., Taichung City, Taiwan).
InTxGNN is the India site of the company’s “TxGNN Drug Repurposing” product line.
The same system is deployed across 30 countries and regions, each named {CC}TxGNN
(JpTxGNN, UsTxGNN, DETxGNN, and so on) at {cc}txgnn.yao.care.
Product overview: https://www.yao.care/medical/txgnn/.
The TxGNN model itself was developed by the Zitnik Lab at Harvard Medical School and published in Nature Medicine. This platform is the production system 藥提醒科技有限公司 built on top of that model, covering national drug-registration data integration, dual knowledge-graph and deep-learning prediction, PubMed / ClinicalTrials evidence grading, and SMART on FHIR electronic health record integration.
This report is for academic research reference only and does not constitute medical advice. Always follow your physician's instructions; never adjust medication on your own. Any drug repurposing decision requires full clinical validation and regulatory review.
Reviewed by: 藥提醒科技有限公司 (yao.care)