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MACHINE LEARNING COMBINED WITH INFRARED SPECTROSCOPY FOR DETECTION OF HYPERTENSION PREGNANCY: TOWARDS FETAL AND PREGNANT BLOOD ANALYSIS.
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  • Sara Maria Santos Dias da Silva,
  • Marcelo Saito Nogueira,
  • Jaqueline Maria Brandão Rizzato,
  • Simone de Lima Silva,
  • Sheila Cavalca Cortelli,
  • Roger Borges,
  • Herculano da Silva Martinho,
  • Rodrigo Augusto Silva,
  • Luis Felipe das Chagas e Silva de Carvalho
Sara Maria Santos Dias da Silva
Universidade de Taubate
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Marcelo Saito Nogueira
Tyndall National Institute
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Jaqueline Maria Brandão Rizzato
Universidade de Taubate
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Simone de Lima Silva
Universidade de Taubate
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Sheila Cavalca Cortelli
Universidade de Taubate
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Roger Borges
Universidade Federal do ABC Centro de Ciencias Naturais e Humanas
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Herculano da Silva Martinho
Universidade Federal do ABC Centro de Ciencias Naturais e Humanas
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Rodrigo Augusto Silva
Universidade de Taubate
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Luis Felipe das Chagas e Silva de Carvalho
Universidade de Taubate

Corresponding Author:[email protected]

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Abstract

Biochemical changes in the cervix during labor are not well understood, in part because of a lack of technology capable of safely probing the pregnant cervix in vivo. FT-IR spectroscopy has the potential to address these needs because it is a non-invasive optical technique that can sensitively detect changes in biochemical components. A total of 30 pregnant participants undergoing either spontaneous or induced labor were recruited. We detected several biochemical changes during labor, including a significant decrease in FT-IR spectral features associated with collagen and other extracellular matrix proteins attributed to collagen dispersion, an increase in spectral features associated with blood, and in features indicative of lipid-based molecules. Our results have demonstrated that FT-IR spectroscopy is sensitive to multiple biochemical remodeling changes in the cervix during labor. FT-IR spectroscopy may be a valuable noninvasive tool for objective cervical assessment to potentially guide clinical labor management.