Researchers Propose Integrated In Vitro and Computational Model for Predicting Ethnic Differences in Drug Response

Study in a Sentence: Researchers have developed an inclusive in vitro in vivo extrapolation (i-IVIVE) to predict ethnic differences in drug response, accounting for variations in melanin levels and Cytochrome P450 enzyme activity.

Animal-Free Methods to Predict Diverse Human Response: This model combines in vitro biochemical binding kinetics, computational modeling, and clinical trial feedback to study drug distribution, metabolism, and toxicity. By utilizing reconstructed human skin integrated with liver spheroids and AI-driven biochemistry models, researchers can better predict pharmacokinetic and pharmacodynamic differences among ethnic groups.

Promoting Equity in Drug Research: The i-IVIVE model advances preclinical and environmental safety testing by making it more inclusive and reducing reliance on animal experiments. This approach provides a framework for addressing disparities in drug response and environmental chemical toxicity, paving the way for more equitable and effective healthcare solutions.