Also, a recent study by Vu et al. [128] demonstrated the use of ML to predict depression based only on socioeconomic, demographic, and health-related factors like physical activity, smoking, or drinking, which are self-reported, introducing potential inaccuracies, which suggests that adding metrics such as inflammatory markers, including IL-8, could significantly enhance ML models. This evidence concerns the gene CXCL8 and depressive symptom measurement.