Towards Personalized Tacrolimus Dosing Using an Algorithm-Driven Prediction Pipeline for Kidney Transplant

This approach offers a practical, effective, and algorithm-driven pipeline for automated drug dose analysis and prediction in clinical practice.

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Publication Details

Journal
Drug Design Development and Therapy
Published
2026-01-01
DOI
https://doi.org/10.2147/dddt.s575125
Primary Topic
Renal Transplantation Outcomes and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Towards Personalized Tacrolimus Dosing Using an Algorithm-Driven Prediction Pipeline for Kidney Transplant

Weiyi Lai, Jianliang Min, Guodong Chen, Qing Li et al.
Drug Design Development and Therapy
Renal Transplantation Outcomes and Treatments
article

Towards Personalized Tacrolimus Dosing Using an Algorithm-Driven Prediction Pipeline for Kidney Transplant

Weiyi Lai, Jianliang Min, Guodong Chen, Qing Li, Zi Liu
article en

Abstract

This approach offers a practical, effective, and algorithm-driven pipeline for automated drug dose analysis and prediction in clinical practice.

Drug Design Development and TherapyVol. Volume 20
Jingdezhen Ceramic Institute (CN), Sun Yat-sen University (CN), Jiaying University (CN), The First Affiliated Hospital, Sun Yat-sen University (CN)
Openalex Percentile: Top 97%
Renal Transplantation Outcomes and Treatments
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Towards Personalized Tacrolimus Dosing Using an Algorithm-Driven Prediction Pipeline for Kidney Transplant — Weiyi Lai, Jianliang Min, et al. · Drug Design Development and Therapy (2026) | TGRS Research Map | TGRS