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Machine Learning Model with Fourier-Transform Infrared Spectroscopy (FTIR) as a Proof-of-Concept Tool for Predicting Group A Streptococcus (GAS) emm -Type in the Pediatric Population.

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Title: Machine Learning Model with Fourier-Transform Infrared Spectroscopy (FTIR) as a Proof-of-Concept Tool for Predicting Group A Streptococcus (GAS) emm -Type in the Pediatric Population.
Authors: Fox, Valeria1 (AUTHOR), Vrenna, Gianluca1,2 (AUTHOR), Rossitto, Martina1,3 (AUTHOR) martina.rossitto@opbg.net, Raimondi, Serena2,4 (AUTHOR), Cristiano, Marco2,5 (AUTHOR), Cortazzo, Venere1,2 (AUTHOR), Agosta, Marilena2 (AUTHOR), Lucignano, Barbara2,3 (AUTHOR), Onori, Manuela2,4 (AUTHOR), Tuccio Guarna Assanti, Vanessa2,5 (AUTHOR), Lepanto, Maria Stefania2 (AUTHOR), Essa, Nour2 (AUTHOR), Tarissi De Jacobis, Isabella3 (AUTHOR), Campana, Andrea4 (AUTHOR), Raponi, Massimiliano5 (AUTHOR), Villani, Alberto3 (AUTHOR), Perno, Carlo Federico2 (AUTHOR), Bernaschi, Paola2 (AUTHOR)
Source: Diagnostics (2075-4418). Dec2025, Vol. 15 Issue 23, p3041. 14p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Diagnostics+%282075-4418%29%22">Diagnostics (2075-4418)</searchLink>. Dec2025, Vol. 15 Issue 23, p3041. 14p.
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              Text: Dec2025
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