Following organ transplant surgery, patients may be prescribed a strong immunosuppressant drug called tacrolimus. The blood levels of the medication can be highly variable among patients which can lead to increased risks.
Elmira Amooei
Data Science, Analytics, and Artificial Intelligence (DSAAI) PhD student Elmira Amooei is developing AI-based models to personalize the dosing of the drug.
“Currently, dosing decisions are made based on trial-and-error and generalized guidelines, which do not capture the individual variations in patients and often result in increasing organ rejection or toxicity risks,” says Amooei.
By leveraging AI methods, including machine learning and reinforcement learning techniques, the research team is developing models to predict an individual’s drug response to optimize dosing.
“Using AI to personalize drug dosing can enhance patient safety and treatment effectiveness,” says Amooei. “This field of research can potentially serve as a foundation for similar personalized dosing practices.”
– Story by Elizabeth Kane. Read about the cutting-edge advancements in AI and machine learning being made by other Carleton graduate students.