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Neftaly Use of AI in Transplant Protocol Development
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 Attach
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