In this study we have evaluated the effectiveness and adaptability of a methodology based on IR spectroscopy and machine learning for the identification of microalbuminuria and DKD in a global context at any point of care. First, we validated models created using the Australian dataset by predicting Spanish data collected under significantly different conditions.