SOURCE-LINKED INTELLIGENCE
AI-assisted peRsonalized heart-on-chIp as advanced diagnostic Tool for clinical significance assessMent of Inherited cArdiomyopathies
AI-guided patient-specific heart-on-chip diagnostic tool (AI-RITMIA) will be able to interface for the first time three currently diverging sectors: patient specific in vitro modelling, in silico and artificial intelligence (AI) based data handling and clinical evaluation. AI-RITMIA will be the first clinical grade personalized in vitro-in silico platform enabling faster and unbiased correlations of clinical outcomes with functional in vitro profiling for VUS-carrying patients, returning a pathogenicity score directly to the clinicians to unlock informed diagnosis and therapeutic decisions. The achievement of such innovation will leverage on enabling technologies and resources uniquely available in the Consortium, which brings together excellences from the three interfacing worlds: 1) in vitro models based on OoC and microsensors @POLIMI, @BIOMIMX, @NMI and patient-specific iPSCs @ICH; 2) the largest EU cohort of well characterized CMP patients @COCHIN, and 3) clinical grade AI-based data handling interfaces @TUM, @ADVICE. organ-on-chip; artificial intelligence; cardiomyopathy; induc
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2999935
- 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.