Automated Dietary Biomarker Correlation for Personalized Cancer Nutrition Interventions

**Abstract:** This research details the development and validation of an Automated Dietary Biomarker Correlation (ADBC) system for personalized nutrition interventions in cancer patients. Leveraging multi-modal data integration and advanced statistical modeling, ADBC identifies statistically significant correlations between dietary intake, circulating biomarkers, and treatment response. This framework moves beyond generalized nutritional recommendations by providing evidence-based, individualized dietary guidance aimed at maximizing treatment efficacy and minimizing adverse effects. The system promises to increase patient compliance, improve clinical outcomes, and reduce healthcare costs within the 정밀 영양 컨설팅 (암 환자 맞춤) context.