Integrating machine learning with pharmacokinetic models: Benefits of scientific machine learning in adding neural networks components to existing PK models
Abstract 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. I...
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Main Authors: | Diego Valderrama (Author), Ana Victoria Ponce‐Bobadilla (Author), Sven Mensing (Author), Holger Fröhlich (Author), Sven Stodtmann (Author) |
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Format: | Book |
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Wiley,
2024-01-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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