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Financiado
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 examinat...
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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Duración del proyecto: 20 meses
Fecha Inicio: 2023-04-06
Fecha Fin: 2024-12-31
Fecha Fin: 2024-12-31
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-04-06
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
HORIZON-EIC-2022-ACCELERATOROPEN-01:
EIC Accelerator Open
Cerrada
hace 1 año
Presupuesto
El presupuesto total del proyecto asciende a
6M€
Líder del proyecto
SONIO
No se ha especificado una descripción o un objeto social para esta compañía.
