AI platform uses 3D visualization to reveal disease biomarkers in multiomics data

Researchers say the ability to visualize health data in three dimensions can unlock patterns and relationships among predictive biomarkers that conventional data visualization can’t convey. That’s why Zeeshan Ahmed and his team at Rutgers developed 3D IntelliGenes, an advanced artificial intelligence and machine-learning platform with the ability to visually analyze multiple types of biological and clinical data—known as multiomics.

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