Personalized medicine (PM) aims to identify the best treatment for a subject using subject-specific covariates. Current methods for designing a parametric-based PM systems rely on a regression model with interaction terms involving the pre-selected …
Large language models (LLMs) are becoming ubiquitous in engineering and science because they can turn prompts into data analysis code, experimental designs, formulations of optimization problems, among other applications. However, many LLMs suffer …
Subjects with complex diseases, such as malaria and leukemia, can have adverse reactions to the best-known treatments. The personalized medicine approach becomes beneficial because the subjects’ covariates are considered before a treatment …