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Application of machine learning to predict tacrolimus exposure in liver and kidney transplant patients given the MeltDose formulation.

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Title: Application of machine learning to predict tacrolimus exposure in liver and kidney transplant patients given the MeltDose formulation.
Authors: Ponthier, Laure1,2, Marquet, Pierre1,3, Moes, Dirk Jan A. R.4, Rostaing, Lionel5, van Hoek, Bart6, Monchaud, Caroline1,3, Labriffe, Marc1,3, Woillard, Jean Baptiste1,3 jean-baptiste.woillard@unilim.fr
Source: European Journal of Clinical Pharmacology. Feb2023, Vol. 79 Issue 2, p311-319. 9p. 3 Charts, 4 Graphs.
Database: Academic Search Ultimate
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  Data: Application of machine learning to predict tacrolimus exposure in liver and kidney transplant patients given the MeltDose formulation.
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Clinical+Pharmacology%22">European Journal of Clinical Pharmacology</searchLink>. Feb2023, Vol. 79 Issue 2, p311-319. 9p. 3 Charts, 4 Graphs.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=161515052
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00228-022-03445-5
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      – Code: eng
        Text: English
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        PageCount: 9
        StartPage: 311
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      – TitleFull: Application of machine learning to predict tacrolimus exposure in liver and kidney transplant patients given the MeltDose formulation.
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            NameFull: Ponthier, Laure
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            NameFull: van Hoek, Bart
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            – D: 01
              M: 02
              Text: Feb2023
              Type: published
              Y: 2023
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            – TitleFull: European Journal of Clinical Pharmacology
              Type: main
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