Publications by authors named "Piero Larizza"
Article Synopsis
- Pancreatic cancer is a leading cause of cancer-related deaths, prompting the need for improved early detection methods.
- The SiMoT technology, capable of analyzing single molecules, is proposed as a superior diagnostic tool compared to the existing SIMOA system for identifying pancreatic cancer precursor cysts.
- SiMoT effectively differentiates between various types of pancreatic cysts using advanced data analysis techniques, highlighting its potential for enhancing diagnostics and enabling field-deployable liquid biopsy applications.
A cohort of 47 patients is screened for pancreatic cancer precursors with a portable 96-well bioelectronic sensing-array for single-molecule assay in cysts fluid and blood plasma, deployable at point-of-care (POC). Pancreatic cancer precursors are mucinous cysts diagnosed with a sensitivity of at most 80% by state-of-the-art cytopathological molecular analyses (e.g.
View Article and Find Full Text PDFOne of the most widespread additive manufacturing (AM) technologies is fused deposition modelling (FDM), also known as fused filament fabrication (FFF) or extrusion-based AM. The main reasons for its success are low costs, very simple machine structure, and a wide variety of available materials. However, one of the main limitations of the process is its accuracy and finishing.
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