Novel monitoring tools for mothers and babies health and wellbeing
New remote non-invasive monitoring solutions for ensuring the health of mothers and babies before and after birth
The Newlife project will answer to the ongoing digital transformation in healthcare from on-site hospital environment to remote healthcare in the home environment, by demonstrating digital and technological solutions serving both parents and new-born, securing life in its most vulnerable phase.
Newlife will develop novel sensing and diagnostic devices, electrodes suitable for wearable technologies and skin interfaces, ensure accurate data measurements and utilize data for analysis and development of novel AI/ML models for complications and risks.
The project consists of 5 use-cases for both, prenatal and postnatal monitoring solutions. Our fully certified MEDrecord platform for data acquisition from sensors combined with health and lifestyle data will provide remote patients and new-borns with 24/7 support and will be adapted and developed further for diabetes monitoring during pregnancy.
The Newlife project has been funded by the KDT JU call. KDT JU – successor to ECSEL JU – is a EU-driven, public-private partnership, funding innovation in electronic components and systems. The total project budget equals 25M€.
Personalised support for informal caregivers of people with dementia
DemiCare aims to provide personalized support for informal caregivers interacting with people with dementia (PwDs) which is based on the social background, pre-existing knowledge and general abilities of the caregiver and the relationship of the PwD and the carer.
End-to-end Solutions for Disease Specific Clinical Decision Support
SYMPHONY will create an open healthcare IT-ecosystem, providing care professionals with real-time, comprehensive insights in the patient’s status, integrating all relevant information for diagnosis, treatment selection as well as follow-up.
Developing AI ecosystems improving diagnosis and care of mental diseases
The DAIsy project will create an AI for the mental healthcare ecosystem by combining expertise on patient monitoring technology, data collection and aggregation technology, domain expertise from care professionals and AI experts.