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

<b>Background</b>: Since 2022, invasive Group A <i>Streptococcus</i> (GAS) infections have increased, mainly due to the spread of specific <i>emm</i>-types, such as <i>emm1</i>. As therapy may depend on the <i>emm</i>-type, rapid and cost-effective identification is crucial. Fourier-transform infrar...

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Detaylı Bibliyografya

Asıl Yazarlar:	Valeria Fox, Gianluca Vrenna, Martina Rossitto, Serena Raimondi, Marco Cristiano, Venere Cortazzo, Marilena Agosta, Barbara Lucignano, Manuela Onori, Vanessa Tuccio Guarna Assanti, Maria Stefania Lepanto, Nour Essa, Isabella Tarissi De Jacobis, Andrea Campana, Massimiliano Raponi, Alberto Villani, Carlo Federico Perno, Paola Bernaschi
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	MDPI AG 2025-11-01
Seri Bilgileri:	Diagnostics
Konular:	FTIR machine learning models GAS <i>emm</i>-type prediction
Online Erişim:	https://www.mdpi.com/2075-4418/15/23/3041
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