Data-Mining Innovative Approaches in biomedical fields

This dissertation investigates innovative data mining methodologies in the biomedical field, placing special emphasis on the identification and analysis of microRNAs as potential biomarkers for various diseases, devoting specific attention to COVID-19 in the hospitalized elderly population. Using Ingenuity Pathway Analysis, the research examines in detail the complex biological processes and molecular mechanisms influenced by microRNAs, exploring their regulation and potential roles in disease development and response to treatments. The present study not only enriches our understanding of the functions and control of miRNAs in the biomedical context, but also highlights how state-of-the-art bioinformatics tools can facilitate in silico research, opening new horizons for biomarker identification and elucidation of complex biological phenomena. The thesis highlights the importance of combining sophisticated data mining techniques with molecular biology to increase the predictive accuracy of potential biomarkers.