Multiple Model Predictive Control System

Overview:

Researchers at the University of Louisville have developed an innovative computer-based system for personalized dosing of pharmacological agents that addresses the variability of therapeutic responses among individual patients. Unlike traditional dosing methods that rely on achieving target drug concentrations in the blood, our system focuses directly on drug effect by utilizing each patient’s unique dose-response profile.  

Highlights:

• A computer-based system that predicts personalized dosing strategies for one or more pharmacological agents to optimize one or more therapeutic responses.
• Suited for drugs where the relationship between their blood level and therapeutic effect is sophisticated
• Only requires the knowledge of doses and responses. 

Benefits: 

This approach is particularly advantageous for drugs with complex relationships between blood levels and therapeutic effects, and for scenarios where drug level measurement is prohibitively expensive. By utilizing predesigned controllers, our system mitigates the risks associated with inaccurate data and offers a cost-effective alternative to personalized medicine.  

Applications:

The current and potential applications of this technology include dosing for erythropoietin and iron in anemia management, managing immunosuppression, insulin dosing for type 1 and type 2 diabetes, warfarin dosing for anticoagulation management, and controlling anesthesia. Additionally, this technology can be extended further to improve dosing regimens for various diseases and disorders. . 

IP Status: ​

Three Issued U.S. Patents

Inventors:

• Adam Gaweda

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