Vision
![](https://static.wixstatic.com/media/7e6e8c_604c2ed62eff438b9d9acdec5845f545~mv2.jpg/v1/fill/w_123,h_82,al_c,q_80,usm_0.66_1.00_0.01,blur_2,enc_auto/7e6e8c_604c2ed62eff438b9d9acdec5845f545~mv2.jpg)
A more reliable diagnosis of preterm birth risk is one of the biggest unsolved problems in modern obstetrics. Pregnolia's approach is unique and ground-breaking: We work for a simple, reliable and easy to use diagnostic device to fight the burden of preterm birth.
Thanks to co-funding from the European Union we can further develop a cost-effective, globally scalable solution.
Our vision is a new preterm birth screening test which will bring relief to doctors and mothers and a better chance to new borns worldwide.
References
EU Horizon information
Pregnolia has been awarded a SME Instrument Phase 2 Grant of € 1.28 million. The grant is used to improve the manufacturability of the diagnostic device for the preterm birth risk assessment and to perform activities towards commercial readiness.
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Read the interview of Sabrina Badir.
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The project runs from September 2019 to June 2022.
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Project details can be found here.
![EU flag.png](https://static.wixstatic.com/media/7e6e8c_b0114409f1774a238d1b8a798b09b00c~mv2.png/v1/fill/w_153,h_102,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/EU%20flag.png)
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 873553.
«A diagnostic medical device determining the risk of premature birth - Pregnolia»
EU Horizon information
Pregnolia has been awarded the SME Innovation Associate grant of € 160'000. The grant is used to fund a post-doctoral research associate contributing to the technical and scientific characterization of the Pregnolia System.
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The project runs from November 2020 to February 2022.
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Project details can be found here.
![EU flag.png](https://static.wixstatic.com/media/7e6e8c_b0114409f1774a238d1b8a798b09b00c~mv2.png/v1/fill/w_153,h_102,al_c,q_85,usm_0.66_1.00_0.01,blur_3,enc_auto/EU%20flag.png)
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 955931.