SOURCE-LINKED INTELLIGENCE
Non-invasive Enhanced Omics and AI-Led Insights in Fetal-maternal hEalth
rements set SDG3.1 we need to develop preventive over reactive medical solutions. However, progress in this domain is hindered by the siloed nature of expertise in reproductive medicine, genomics and machine learning. Barriers such as fragmented data formats, lack of standardized protocols for data collection/storage and limited integration of genomic data into broader research efforts further impede interdisciplinary collaboration along with the fact that clinicians, researchers and engineers operate within their own specialized domains. NEO-LIFE aims to tackle these challenges via implementation of a cross-disciplinary and collaborative approach, recognizing that the complexities of reproductive health, fetal-maternal medicine and precision genomics cannot be effectively addressed within isolated sectoral silos. By bridging expertise across clinical medicine, genomics, bioinformatics and AI, NEO-LIFE fosters a synergy that accelerates innovation and ensures that cutting-edge advancements translate into tangible healthcare solution. Reproductive genomics, Non-invasive prenatal diagn
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1803600
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.