MACHINE LEARNING COMBINED WITH INFRARED SPECTROSCOPY FOR DETECTION OF
HYPERTENSION PREGNANCY: TOWARDS FETAL AND PREGNANT BLOOD ANALYSIS.
- 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
Roger Borges
Universidade Federal do ABC Centro de Ciencias Naturais e Humanas
Author ProfileHerculano da Silva Martinho
Universidade Federal do ABC Centro de Ciencias Naturais e Humanas
Author ProfileAbstract
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.