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- W4309988892 abstract "Abstract Tacrolimus is the cornerstone of immunosuppressive therapy after pediatric liver transplantation. However, reliance on the physician’s experience for dose titration, coupled with tacrolimus’s narrow therapeutic window and inter and intra-patient variability, often results in frequent under or over-dosing with detrimental patient outcomes. Existing predictive dose personalization models are not readily feasible for clinical implementation, as they require multiple measurements each day while the standard frequency is once daily. We developed CURATE.AI, a small-data artificial intelligence-derived platform, as a clinical decision support system to personalize doses using the patient’s own data obtained once a day. Retrospective dose personalization with CURATE.AI on 16 patients’ data demonstrated potential to enable patients to stay in the therapeutic range longer and reach the therapeutic range significantly earlier. Our findings support the testing of CURATE.AI in a prospective controlled trial as an aid for the physician’s decision on tacrolimus dose personalization after pediatric liver transplantation." @default.
- W4309988892 created "2022-11-30" @default.
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- W4309988892 date "2022-11-24" @default.
- W4309988892 modified "2023-09-29" @default.
- W4309988892 title "CURATE.AI – AI-derived personalized tacrolimus dosing for pediatric liver transplant: A retrospective study" @default.
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- W4309988892 doi "https://doi.org/10.1101/2022.11.24.22282708" @default.
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