AI based NIPT

Empowered by AI, GC Genome’s NIPT Paves
the Way for the Future of Fetal Aneuploidy Detection

At our core, we strive to lead the way in clinical genomic diagnostics,
providing vital solutions to patients while pushing boundaries of genomic technologies.
We are passionately committed to prioritizing R&D driven by a mindset of patient-centered care and
the pursuit of effective cures aiming to discover impactful remedies for a wide range of conditions.

Four types of aiD-NIPT algorithm (mean, median, interquartile range, and its ensemble) were developed using 2,215 samples.
In an analysis of 17,678 clinical samples, all algorithms showed >99.40% accuracy for T21/T18/T13, and the ensemble algorithm showed the best performance
(sensitivity: 99.07%, positive predictive value (PPV): 88.43%); the FC-based conventional Z-score and normalized chromosomal value showed 98.15% sensitivity,
with 40.77% and 36.81% PPV, respectively. In conclusion, FD-based aiD-NIPT was successfully developed,
and it showed better performance than FC-based NIPT methods.

Our Publication on Frontiers in Genetics

Development and performance evaluation of
an artificial intelligence algorithm using
cell-free DNA fragment distance for non-invasive
prenatal testing (aiD-NIPT)

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G-NIPT delivers the best care solution for your little one.

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Focused Areas: Liquid Biopsy

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