Integrating machine learning with pharmacokinetic models: Benefits of scientific machine learning in adding neural networks components to existing PK models.

Journal Information

Full Title: CPT Pharmacometrics Syst Pharmacol

Abbreviation: CPT Pharmacometrics Syst Pharmacol

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Pharmacology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
4/6
66.7% Transparent
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Core Indicators
Evidence found in paper:

"model implementation can be found in the model code of the data s1.; to further exemplify this in the data s1 we show an example in which we adapted our architecture to capture an unknown and time-variant clearance while estimating simultaneously a linear absorption rate and volume (figure s3 ).; data s1 click here for additional data file."

Code Sharing
Evidence found in paper:

"CONFLICT OF INTEREST STATEMENT A.V.P.B., S.M., and S.S. are employees of AbbVie and may hold AbbVie stock. Fraunhofer SCAI (employees: D.V. and H.F.) received funding from AbbVie for this study. AbbVie contributed to the study design, research, and interpretation of data, and the writing, reviewing, and approving of the publication."

Evidence found in paper:

"FUNDING INFORMATION This study was sponsored by AbbVie, Inc."

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Open Access
Paper is freely available to read
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Tool: rtransparent

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Last Updated: Aug 05, 2025