| Protocol Optimization | AI analyzes outcomes to refine immunosuppression, infection prophylaxis, and organ matching protocols. |
| Risk Stratification | Machine learning models predict rejection risk, infection (CMV, EBV), graft survival, and patient outcomes. |
| Candidate Selection | AI supports decision-making using real-time data from labs, imaging, comorbidities, and social factors. |
| Equity and Bias Detection | AI audits for racial, socioeconomic, and geographic disparities in transplant access and outcomes. |
| Post-Transpl |
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