Chiara Bernardi
An automated data processing tool for Hyperpolarized Nuclear Magnetic Resonance: advancing precision medicine research.
Rel. Kristen Mariko Meiburger, Filippo Molinari. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2024
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Abstract
In biomedical research, a comprehensive approach to detecting and monitoring diseases during different stages and measuring metabolic processes is essential for early diagnosis, managing chronic illnesses, and improving health outcomes. Precision medicine exemplifies this approach by tailoring treatment to individual patients, thereby enabling more accurate diagnoses, better disease prediction, and personalized therapies. Central to the advancement of precision medicine are innovative technologies such as Hyperpolarized Nuclear Magnetic Resonance (HP-NMR) spectroscopy, which significantly enhances the sensitivity of molecular analysis. HP-NMR facilitates real-time, non-invasive observation of molecular processes, providing unprecedented insights into dynamic biological phenomena. However, the complex signals generated by HP-NMR require efficient and accurate pre-processing methods to extract meaningful information.
Addressing these challenges is essential for fully realizing HP-NMR's potential in advancing precision medicine
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