Deep Learning Model and Risk Factors for Tacrolimus-related Acute Kidney Injury
Deep Learning Model and Risk Factors for Tacrolimus-related Acute Kidney Injury
Active, not recruiting · NCT06596798 · Registry updated 2024-09-19Clinical trials
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| Trial | Conditions | Status | Phase | Updated | More info | NCT ID |
|---|---|---|---|---|---|---|
| Deep Learning Model and Risk Factors for Tacrolimus-related Acute Kidney Injury | Female Urogenital Diseases, Female Urogenital Diseases and Pregnancy Complications, Male Urogenital Diseases, Urogenital Diseases, acute kidney injury, kidney disorder, kidney failure, urinary system disorder | Active, not recruiting | Not stated | 2024-09-19 | NCT06596798 |
1 results · Page 1 of 1
Organizations
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| Organizations | Linked trials |
|---|---|
| Qianfoshan Hospital | 88 |
1 results · Page 1 of 1
Research sites
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| Research sites | City | Country | Linked trials |
|---|---|---|---|
| The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital | Jinan | China | 1 |