A toolkit for quantifying individual response to herbal extracts in metabolic and inflammatory stress.

ABSTRACT: This study developed a health assessment tool to analyze dynamic stress responses and resilience with the PhenFlex challenge. This study integrated a health space model and machine learning to quantify and visualize the impact of herbal extracts on inflammatory and metabolic health at the individual level. Two randomized, double-blind, placebo-controlled crossover trials were conducted involving participants with PhenFlex challenge after overnight fasting. Blood samples were collected, and a machine learning algorithm was used to predict health estimation scores based on metabolic and inflammatory responses. The resulting health space model visually represents individuals' health status in a 2-D space. Intervention with herbal extracts (e.g., Angelica keiskei, AK, and Capsosiphon fulvescen

SUBMITTER: Park SY 

PROVIDER: S-EPMC11791183 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature