SOURCE-LINKED INTELLIGENCE
Bridging Nanostructures and Biosensing for Precision Diagnostics
analytical scientists often work in silos. NANOBRIDGE closes this gap by co-designing geometry, chemistry, and recognition from the start, and linking them to readout through multiscale modelling and machine learning able to turn datasets into predictive design rules that guide nanogeometry, probe density, linkers, and interrogation waveforms to minimise LOD while preserving speed and robustness. The consortium unites ten partners across Europe and beyond (USA, Canada, South Africa) with two SMEs (Switzerland, Italy), ensuring that laboratory gains translate into scalable, quality-assured devices. In parallel, NANOBRIDGE is a training engine: international, intersectoral secondments and targeted schools provide early-career researchers with hands-on experience in nanolithography, smart functionalisation, multimodal readout, and AI analytics, creating a generation of well-rounded researchers equipped with the skills, confidence, and networks to thrive in diverse professional environments. This integrated approach delivers both high-performance sensing platforms and a new cohort of int
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 981960
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.