Linear Predictive Modeling for Immune Metabolites Related to Other Metabolites

Metabolite analysis reveals new challenges in human health care. This human health care connects to the immune system and presents opportunities for the prevention and detection of early hidden disease symptoms. Predicting the concentration of immune metabolites and confirming relationships between concentrations of individual metabolites have the potential to create breakthroughs in diagnostic techniques. This early detection of serious diseases plays a major role in overall recovery. Moreover, metabolite analysis linked to biomedical applications could provide an ideal tool for preventive healthcare and the pharmaceutical industry. This study presents the linear prediction of selected metabolites involved in the immune system. The evaluation relied on accurate linear prediction modeling and subsequent comparison. This is the first step toward determining the relationship of metabolites and immune system using computational biomedical analysis.

Automated summary

Metabolite analysis in human health care presents challenges and opportunities in the prevention and early detection of diseases, with the potential to create breakthroughs in diagnostic techniques. It is linked to biomedical applications and offers an ideal tool for preventive healthcare and the pharmaceutical industry.