Irina Kareva

This paper develops a method to stratify patients for combination therapy by optimizing synergy across efficacy and potency, using a preclinical mouse dataset to demonstrate subgroup-specific treatment responses.

The paper models adaptive receptor expression as a compensatory mechanism and finds it robust to oscillatory perturbations but not chronic stress, suggesting disease arises from exceeding compensatory limits.

This paper develops a mathematical model to assess how incorporating toxicity feedback affects adaptive cancer therapy, finding that toxicity-induced treatment breaks can extend time to progression.

The paper develops a pharmacokinetic/pharmacodynamic model to evaluate dosing strategies for trimer-based bispecific antibodies, finding that the current recommended dose is optimal for a broad population and that patient stratification based on biomarkers can improve efficacy.

This paper proposes a game-theoretic model to explain how metabolic stress and energy constraints in Alzheimer's disease lead to neural strategy transitions and cognitive decline.

The paper develops a quantitative pharmacology model to analyze how TCE drug-target trimer formation and biodistribution depend on binding kinetics and design characteristics.

The paper links hyperinsulinemia to cancer progression by showing how reduced glucose storage capacity leads to insulin resistance and affects tumor response to therapy.

The paper introduces a framework to determine the minimal experimental design needed for parameter identifiability in mathematical models, applied to a pharmacokinetic/pharmacodynamic model of drug distribution in the tumor microenvironment.

This paper develops a mathematical model to link gut serotonin signaling in the enteric nervous system to autism spectrum disorder by scaling findings from mice to humans.

The paper develops a mathematical model to explain immune recruitment and drug resistance in metronomic chemotherapy using a mouse glioma model and validates it across different drug regimens.