Development of a biosensor for fetal well-being monitoring (Biosensor4Fetus)

Despite all the technologic developments that have already been seen in last decades in medical care, fetal well-being monitoring remains a challenge to solve. The main aim of this work is to construct an innovative electrochemical (bio)sensor for the monitoring of the main organic and inorganic components of amniotic fluid (AF). The development of this biosensor will allow the measurement and characterization of the AF constituents, with multiple interests in fetal development and clinical obstetrics, such as continuous intrapartum fetal monitoring, drug transplacental transport monitoring and lung maturity evaluation.

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S. Queirós, “Right ventricular segmentation in multi-view cardiac MRI using a unified U-net model”, in E. Puyol Antón et al. (eds) Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge. STACOM 2021. Lecture Notes in Computer Science, vol 13131, pp. 287-295, Springer, Cham, 2022.

“Best Paper Award in the M&Ms-2 Challenge”, by M&Ms2 Challenge organizers and the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society.