Artificial Intelligence Opportunities to Guide Precision Dosing Strategies

Precision dosing is an approach to use various patient-specific data sources to individualize pharmacotherapy of critical medicines used in the care of disease and other conditions for which drug therapy is recommended. Often the “data” in question refers to therapeutic drug monitoring of drug concentrations in blood or plasma. More recently, biomarkers and clinical outcomes have been used to further guide dose individualization for critical pharmacotherapy.

The first model-informed precision dosing (MIPD) tool using both pharmacokinetics (PK) and pharmacodynamics (PD) data was developed in 1969, to assess optimal dosing for patients on anticoagulation therapy. Despite the technologic improvements and advances there are still limited implementations of either internal or commercial solutions, and the limited implementations typically are for single institutions and not collaborative efforts where data and/or models and decision support systems are shared.

Platforms such as the Aridhia DRE can connect and integrate patient level data regardless of the size, type or complexity into analysis datasets that can fuel precision dosing solutions. It also can manage cross-institution collaborations. In addition the DRE fully integrates AI/ML solutions into the DRE Workspaces environment making it a good choice for future AI-based precision dosing strategies.

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