Imagine if a baby's brain could tell doctors exactly what fuel it needs in real-time, like a smart dashboard for a car. Instead of following a generic feeding chart, this system uses a wearable cap and a tiny sensor to track brain oxygen and sugar levels. It then adjusts nutrition on the fly to prevent long-term brain injuries.
Preterm infants are fed based on generic charts that cannot react to sudden changes in brain fuel needs. This lack of real-time monitoring increases the risk of permanent neurodevelopmental disabilities.
A wearable cap (neo-opticap) for brain oxygenation and blood flow, a subcutaneous sensor for glucose/lactate/BHB, and a metabolic digital twin model.
If you are a device maker dealing with static, non-personalized monitoring tools — this project developed a wearable cap and subcutaneous sensor that allows for real-time adjustment of nutrient intake. This transforms standard NICU care into a personalized metabolic support system.
If you are a software firm dealing with the lack of predictive models for infant nutrition — this project developed a metabolic digital twin model. This allows for the precise calculation of how glucose, lactate, and ketones affect brain blood flow.
If you are a clinic operator dealing with high rates of neurodevelopmental disabilities in preterms — this project developed a system to target brain health via real-time sensing. This reduces the risk of long-term disability and improves patient outcomes.
Based on available project data, there is no specific pricing or cost-per-unit mentioned for the final device.
The project includes 3 industry partners and 3 SMEs to help shape the industrial development of the neonatal devices.
Based on available project data, specific licensing terms are not listed, though the project involves a consortium of 11 partners across 6 countries.
It integrates via a wearable cap (neo-opticap) and a subcutaneous sensor, complemented by a visual interface designed for parents and healthcare staff.
The project runs from 2023-02-01 to 2027-01-31.
The project is led by the University of Padova with a balanced mix of 11 partners from 6 countries. With a 27% industry ratio (including 3 SMEs), the consortium demonstrates a clear intent to move from academic research to commercial application, combining deep clinical expertise with industrial manufacturing capabilities.
Contact Universita Degli Studi di Padova
Contact us to explore licensing opportunities for the neo-opticap and metabolic sensors.
