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.
Data-Mining Innovative Approaches in biomedical fields / Marra, Massimo. - (2024 Jun 03).
Data-Mining Innovative Approaches in biomedical fields
MARRA, MASSIMO
2024-06-03
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.