The first medical device for non-invasive detection and monitoring of infant meningitis
NEOSONICS is a non-invasive ultrasound device that detects infant meningitis by analyzing cerebrospinal fluid white blood cell levels, aiming to reduce reliance on risky lumbar punctures.
Projectdetails
Introduction
Meningitis is a life-threatening disease that can kill in a matter of hours or cause life-long disabilities if not detected promptly. Infants (<12 months) are the most vulnerable population with a compromised immunologic system.
Current Detection Methods
Although the incidence is relatively low in industrialized countries, neonatologists only count on lumbar punctures as the gold standard method to detect the disease. This method is invasive, risky, and cost-inefficient.
NEOSONICS Device
NEOSONICS is a patented first-in-class medical device based on high-frequency ultrasound to non-invasively detect and monitor infant meningitis.
Device Functionality
- The hand-held device is placed on the open fontanelle of a baby.
- Due to proprietary coupling materials and in-house developed machine learning algorithms, it detects the level of white blood cells in the cerebrospinal fluid at a sensitivity of 100%.
Impact on Clinical Practice
With NEOSONICS, lumbar punctures will be limited to only a few patients with infection (and no lumbar puncture contraindication) that will be non-invasively assessed with our innovation.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.500.000 |
Totale projectbegroting | € 4.125.058 |
Tijdlijn
Startdatum | 1-12-2022 |
Einddatum | 31-8-2025 |
Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- NEOS NEW BORN SOLUTIONS SLpenvoerder
Land(en)
Vergelijkbare projecten binnen EIC Accelerator
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Sonio: Deep-Learning for Detection and Diagnostic of Prenatal MalformationsSonio is an AI-driven platform that enhances fetal ultrasound by guiding OBGYNs in detecting congenital malformations, aiming to improve prenatal diagnosis accuracy and outcomes. | EIC Accelerator | € 2.500.000 | 2023 | Details |
Bringing newborn care home: An integral mHealth solution for neonatal jaundice management.Picterus is creating a digital platform for at-home neonatal jaundice screening, empowering families to monitor conditions and streamline healthcare referrals, improving outcomes and resource efficiency. | EIC Accelerator | € 2.499.999 | 2023 | Details |
Point of care diagnostic solution for definitive differentiation of true and false threatened preterm labour casesINNITIUS aims to optimize TPTL diagnosis with Fine Birth, a non-invasive AI-driven device that assesses cervical tissue consistency, seeking €2.5M for further development and regulatory approval. | EIC Accelerator | € 2.342.835 | 2023 | Details |
World’s first diagnostic test that can detect all bacterial species in a single assayInbiome aims to implement the "Molecular Culture" diagnostic test in hospitals to accurately identify bacterial infections within 4 hours, enhancing treatment and reducing costs. | EIC Accelerator | € 2.499.999 | 2023 | Details |
Sonio: Deep-Learning for Detection and Diagnostic of Prenatal Malformations
Sonio is an AI-driven platform that enhances fetal ultrasound by guiding OBGYNs in detecting congenital malformations, aiming to improve prenatal diagnosis accuracy and outcomes.
Bringing newborn care home: An integral mHealth solution for neonatal jaundice management.
Picterus is creating a digital platform for at-home neonatal jaundice screening, empowering families to monitor conditions and streamline healthcare referrals, improving outcomes and resource efficiency.
Point of care diagnostic solution for definitive differentiation of true and false threatened preterm labour cases
INNITIUS aims to optimize TPTL diagnosis with Fine Birth, a non-invasive AI-driven device that assesses cervical tissue consistency, seeking €2.5M for further development and regulatory approval.
World’s first diagnostic test that can detect all bacterial species in a single assay
Inbiome aims to implement the "Molecular Culture" diagnostic test in hospitals to accurately identify bacterial infections within 4 hours, enhancing treatment and reducing costs.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
WEE-DetectWEE-Detect onderzoekt het verbeteren van een slim luierplatform voor continue urine-monitoring van neonaten om overlevingskansen te vergroten. | Mkb-innovati... | € 20.000 | 2021 | Details |
Innovatief patiënt monitoringsysteem voor sepsis in baby’s en jonge kinderen in lage- en middeninkomenslanden.GOAL 3 ontwikkelt een betaalbaar patiëntmonitoringsysteem voor vroegtijdige detectie van septische shock bij baby’s in LMIL, gericht op het verbeteren van zorgcapaciteiten en -resultaten. | Mkb-innovati... | € 20.000 | 2020 | Details |
A tool to detect cognitive abnormalities in the first year of life based on electroencephalography (EEG)The babylearn project aims to develop an EEG-based tool for early assessment of cognitive functions in infants, enhancing diagnosis and support for at-risk populations like premature babies. | ERC Proof of... | € 150.000 | 2023 | Details |
Premature baby's draadloos monitoren met de Bambi BeltHet project ontwikkelt de Bambi Belt, een draadloos en huidvriendelijk monitoringsysteem voor premature baby’s, om stress en pijn te verminderen en de kwaliteit van zorg te verbeteren, wat ziekenhuisverblijven verkort en kosten verlaagt. | Mkb-innovati... | € 348.460 | 2017 | Details |
Non-invasieve epilepsieaanval detectieLivAssured en Momo Medical ontwikkelen een non-contact oplossing voor het detecteren van epilepsieaanvallen in bed, gericht op kwetsbare patiënten, om tijdige alarmmeldingen te faciliteren. | Mkb-innovati... | € 156.030 | 2020 | Details |
WEE-Detect
WEE-Detect onderzoekt het verbeteren van een slim luierplatform voor continue urine-monitoring van neonaten om overlevingskansen te vergroten.
Innovatief patiënt monitoringsysteem voor sepsis in baby’s en jonge kinderen in lage- en middeninkomenslanden.
GOAL 3 ontwikkelt een betaalbaar patiëntmonitoringsysteem voor vroegtijdige detectie van septische shock bij baby’s in LMIL, gericht op het verbeteren van zorgcapaciteiten en -resultaten.
A tool to detect cognitive abnormalities in the first year of life based on electroencephalography (EEG)
The babylearn project aims to develop an EEG-based tool for early assessment of cognitive functions in infants, enhancing diagnosis and support for at-risk populations like premature babies.
Premature baby's draadloos monitoren met de Bambi Belt
Het project ontwikkelt de Bambi Belt, een draadloos en huidvriendelijk monitoringsysteem voor premature baby’s, om stress en pijn te verminderen en de kwaliteit van zorg te verbeteren, wat ziekenhuisverblijven verkort en kosten verlaagt.
Non-invasieve epilepsieaanval detectie
LivAssured en Momo Medical ontwikkelen een non-contact oplossing voor het detecteren van epilepsieaanvallen in bed, gericht op kwetsbare patiënten, om tijdige alarmmeldingen te faciliteren.