Integrating machine learning with pharmacokinetic models: Benefits of scientific machine learning in...
Integrating machine learning with pharmacokinetic models: Benefits of scientific machine learning in adding neural networks components to existing PK models
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United States: John Wiley & Sons, Inc
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Language
English
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Publisher
United States: John Wiley & Sons, Inc
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Recently, the use of machine‐learning (ML) models for pharmacokinetic (PK) modeling has grown significantly. Although most of the current approaches use ML techniques as black boxes, there are only a few that have proposed interpretable architectures which integrate mechanistic knowledge. In this work, we use as the test case a one‐compartment PK m...
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Integrating machine learning with pharmacokinetic models: Benefits of scientific machine learning in adding neural networks components to existing PK models
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TN_cdi_doaj_primary_oai_doaj_org_article_b01c91b33a9843feb724d969b1c2d471
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b01c91b33a9843feb724d969b1c2d471
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ISSN
2163-8306
E-ISSN
2163-8306
DOI
10.1002/psp4.13054
