Predicting the Risk of Proteinuria Based on Blood Plasma Fourier‐Transform Infrared Spectroscopy and Machine Learning Algorithms From Pregnant Women and Newborns
Camila Lopes Ferreira, Sara Maria Santos Dias da Silva, Luma Martins Aleixo de Oliveira, Vitórya Carvalho Pádua de Magalhães, Simone Lima Silva, Sheila Cavalca Cortelli, Rodrigo Augusto Silva, Jaqueline Maria Brandão Rizzato, Marcelo Saito Nogueira, Luís Felipe Das Chagas e Silva de Carvalho · 2026
Read Predicting the Risk of Proteinuria Based on Blood Plasma Fourier‐Transform Infrared Spectroscopy and Machine Learning Algorithms From Pregnant Women and Newborns by Camila Lopes Ferreira, Sara Maria Santos Dias da Silva, Luma Martins Aleixo de Oliveira, Vitórya Carvalho Pádua de Magalhães, Simone Lima Silva, Sheila Cavalca Cortelli, Rodrigo Augusto Silva, Jaqueline Maria Brandão Rizzato, Marcelo Saito Nogueira, Luís Felipe Das Chagas e Silva de Carvalho (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13652351.txt.
Description
Camila Lopes Ferreira and co-authors test whether shining infrared light through blood plasma, paired with machine learning, can flag excess protein linked to preeclampsia risk in pregnancy. Too much protein in urine is a key warning sign, and it raises the risk of early birth and low birth weight. The team collected plasma at birth from mothers and newborns, with and without the condition.
Several learning algorithms read the light spectra and sorted samples into groups. Accuracy reached about three quarters for mothers and about nine tenths for newborns, with strong sensitivity and specificity. The authors say the method could support early diagnosis and monitoring, but larger and more varied samples are needed to confirm it.
Catalog record
| CREATOR | Camila Lopes Ferreira, Sara Maria Santos Dias da Silva, Luma Martins Aleixo de Oliveira, Vitórya Carvalho Pádua de Magalhães, Simone Lima Silva, Sheila Cavalca Cortelli, Rodrigo Augusto Silva, Jaqueline Maria Brandão Rizzato, Marcelo Saito Nogueira, Luís Felipe Das Chagas e Silva de Carvalho |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 55 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |