Biomedicine

Abstract

This brief review explores the integration of translational research, protein profiling, and artificial intelligence (AI) in predicting COVID-19 severity and optimizing recovery, focusing on Heat Shock Proteins (HSPs) as critical biomarkers. Translational research translates molecular findings into clinical solutions, and AI accelerates biomarker discovery and prediction accuracy. Protein profiling, particularly of HSPs involved in cellular stress responses, provides key insights into COVID-19's progression and post-infection resilience. This synthesis of research methodologies holds potential for timely identification of high-risk patients and tailored interventions, offering a comprehensive framework to improve COVID-19 outcomes and inform future pandemic responses.