Artificial intelligence modeling of biomarker‐based physiological age: Impact on phase 1 drug‐metabo...
Artificial intelligence modeling of biomarker‐based physiological age: Impact on phase 1 drug‐metabolizing enzyme phenotypes
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Publisher
United States: John Wiley & Sons, Inc
Journal title
Language
English
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Publisher
United States: John Wiley & Sons, Inc
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Contents
Age and aging are important predictors of health status, disease progression, drug kinetics, and effects. The purpose was to develop ensemble learning‐based physiological age (PA) models for evaluating drug metabolism. National Health and Nutrition Examination Survey (NHANES) data were modeled with ensemble learning to obtain two PA models, PA‐M1 a...
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Full title
Artificial intelligence modeling of biomarker‐based physiological age: Impact on phase 1 drug‐metabolizing enzyme phenotypes
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11812938
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11812938
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ISSN
2163-8306
E-ISSN
2163-8306
DOI
10.1002/psp4.13273
