If you are a wearable health tech developer dealing with the need for clinical-grade pregnancy monitoring — this project developed smart garments and fetal patches that allow high-risk monitoring outside the clinic. This enables the creation of a new product line for home-based prenatal care.
Remote AI-powered monitoring for mothers and newborns to shift care from hospitals to home
Imagine having a smart outfit or a small patch that acts like a 24/7 nurse for pregnant women and newborns. It uses sensors and AI to spot health risks early without needing a hospital visit. It's like a fitness tracker, but specifically designed to keep moms and babies safe during their most fragile moments.
What needed solving
Hospital staff shortages and high costs of care lead to increased rates of preterm labor and missed early detection of pathologies in mothers and newborns.
What was built
Five use-case solutions including a pregnancy companion, smart garments for pregnancy and newborns, a fetal monitoring patch, and a newborn bed monitoring demonstrator.
Who needs this
Who can put this to work
If you are a telemedicine platform provider dealing with the shortage of hospital staff — this project developed AI/ML methods for analyzing vital data remotely. This allows you to integrate automated risk detection for newborns and mothers into your digital service.
If you are a smart fabric manufacturer dealing with the lack of medical-grade applications for e-textiles — this project developed smart clothes for newborn monitoring. This provides a validated use case for integrating medical sensors into infant apparel.
Quick answers
What is the cost or pricing model for these solutions?
Based on available project data, specific pricing or cost structures are not provided.
Can this be produced at an industrial scale?
The project includes 23 industry partners and 16 SMEs, suggesting a strong capacity for scaling, though specific mass-production volumes are not listed.
Who owns the IP and how is licensing handled?
Based on available project data, the IP and licensing terms are not specified, though the project is coordinated by Philips Electronics Nederland BV.
How does this integrate into existing hospital systems?
The project focuses on integrating solutions into clinical workflows with specific attention to data integration, security, safety, and medical qualification.
What is the timeline for market availability?
The project period runs from 2023-01-01 to 2025-12-31, indicating that final results and prototypes are being developed through the end of 2025.
Who built it
The consortium is heavily industry-driven, with 23 out of 30 partners coming from the private sector (77% industry ratio). The presence of 16 SMEs alongside a major corporate coordinator like Philips suggests a balanced ecosystem capable of both high-level coordination and agile technical development across 6 countries.
Contact Philips Electronics Nederland BV regarding the Newlife project outcomes.
Talk to the team behind this work.
Contact SciTransfer to connect with the Newlife consortium for licensing or partnership opportunities.