We have uncovered 18 transcriptomic biomarkers that are highly significant in the CVD population that were used to predict disease with up to 96% accuracy ( DeGroat et al. 2023a ). 4 Discussion The development of an ML predictive engine that utilizes genetic biomarkers to assess the risk of complex disease in patients is still in its early stages.
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IntelliGenes: a novel machine learning pipeline for biomarker discovery and predictive analysis using multi-genomic profiles.
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