Sonio deep-learning for detection and diagnostic of prenatal malformations
This tender is from the country of Belgium in Europe region. The tender was published by SONIO on 30 Apr 2025 for Sonio deep-learning for detection and diagnostic of prenatal malformations 1 child out of 33 is born with a congenital malformation in developed countries leading to mortality disability which impact the children the families healthcare system Fetal ultrasound is the standard non invasive examination to screen for malformations but 50 of malformations are not detected at routine exams as fetal ultrasound is very complex time-consuming highly operator-dependent One needs to acquire the right images interpret them combine them with blood or and genetic tests to get the right diagnosis We created Sonio an AI one-stop modular software platform to guide OBGYNS sonographers during fetal ultrasound The core is the Clinical Brain a unique mix between fetal medicine AI aware of 1 6k anomalies 450 syndromes It can prioritize anomalies to identify the most probable diagnoses based on medical history observed phenotype With EIC support we will fully build image recognition genomics into our platform to revolutionize prenatal diagnosis. The last date to submit your bid for this tender was 31 Dec 2024. This tender is for the companies specializing in Laboratory services and similar sectors.
*The deadline for this tender has passed.
Tender Organisation:
SONIO
Tender Sector:
Tender Service:
Worldwide
Tender Region:
Tender Country:
Tender CPV:
71900000 : Laboratory services
Tender Document Type:
Tender Notice
Tender Description:
Sonio deep-learning for detection and diagnostic of prenatal malformations 1 child out of 33 is born with a congenital malformation in developed countries leading to mortality disability which impact the children the families healthcare system Fetal ultrasound is the standard non invasive examination to screen for malformations but 50 of malformations are not detected at routine exams as fetal ultrasound is very complex time-consuming highly operator-dependent One needs to acquire the right images interpret them combine them with blood or and genetic tests to get the right diagnosis We created Sonio an AI one-stop modular software platform to guide OBGYNS sonographers during fetal ultrasound The core is the Clinical Brain a unique mix between fetal medicine AI aware of 1 6k anomalies 450 syndromes It can prioritize anomalies to identify the most probable diagnoses based on medical history observed phenotype With EIC support we will fully build image recognition genomics into our platform to revolutionize prenatal diagnosis
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