# Artificial Intelligence Model for Renal Allograft Rejection Identification, Lesion Quantification and Rejection Risk Prediction Based on Prospective Renal Transplant Pathology and Clinical Multidimensional Data

> **NCT07741552** · — · ACTIVE_NOT_RECRUITING · sponsor: **Chen Dajin** · enrollment: 1000 (estimated)

## Conditions studied

- Graft Rejection
- Kidney Transplantation
- Glomerulonephritis
- Polyomavirus Infections

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT07741552
- **Lead sponsor:** Chen Dajin
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** ACTIVE_NOT_RECRUITING
- **Start date:** 2025-11-01
- **Primary completion:** 2030-10-31
- **Final completion:** 2030-10-31
- **Target enrollment:** 1000 (ESTIMATED)
- **Last updated:** 2026-08-03


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07741552

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07741552, "Artificial Intelligence Model for Renal Allograft Rejection Identification, Lesion Quantification and Rejection Risk Prediction Based on Prospective Renal Transplant Pathology and Clinical Multidimensional Data". Retrieved via MORVS 2026-10-20 from https://api.morvs.ai/clinical/NCT07741552. Licensed CC0.

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