Artificial neural network model for predicting the bioavailability of tacrolimus in patients with renal transplantation.

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Artificial neural network model for predicting the bioavailability of tacrolimus in patients with renal transplantation.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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2018年學術文章

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Artificial neural network mode ...... ts with renal transplantation.

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Artificial neural network mode ...... ts with renal transplantation.

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label

Artificial neural network mode ...... ts with renal transplantation.

@en

Artificial neural network mode ...... ts with renal transplantation.

@nl

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Artificial neural network mode ...... ts with renal transplantation.

@en

Artificial neural network mode ...... ts with renal transplantation.

@nl

P1476

Artificial neural network mode ...... nts with renal transplantation

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P2093

Kalluri Thishya

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Kiran Kumar Vattam

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Shaik Mohammad Naushad

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Shree Bhushan Raju

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P2860

Determination of the most influential sources of variability in tacrolimus trough blood concentrations in adult liver transplant recipients: a bottom-up approach

Concentration of tacrolimus and major metabolites in kidney transplant recipients as a function of diabetes mellitus and cytochrome P450 3A gene polymorphism.

Relationship of CYP3A5 genotype and ABCB1 diplotype to tacrolimus disposition in Brazilian kidney transplant patients

Effect of CYP3A and ABCB1 single nucleotide polymorphisms on the pharmacokinetics and pharmacodynamics of calcineurin inhibitors: Part I.

Dosing equation for tacrolimus using genetic variants and clinical factors

Validation of tacrolimus equation to predict troughs using genetic and clinical factors.

Opportunities to optimize tacrolimus therapy in solid organ transplantation: report of the European consensus conference.

Application of Machine-Learning Models to Predict Tacrolimus Stable Dose in Renal Transplant Recipients.

Tacrolimus trough levels, rejection and renal impairment in liver transplantation: a systematic review and meta-analysis.

Clinical and genetic factors affecting tacrolimus trough levels and drug-related outcomes in Korean kidney transplant recipients.

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e0191921

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scholarly article

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10.1371/JOURNAL.PONE.0191921

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English

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Vijay Kumar Kutala

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2018-04-05T00:00:00Z

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29621269

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5886400

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