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How it works

DiffDx Melanoma

Greater accuracy with less ambiguity

Artificial intelligence meets biology
Leveraging artificial intelligence-based technology, DiffDx-Melanoma is an objective test with a high level of accuracy, low technical failure, low intermediate risk, and an inclusion of a variety of both benign nevi and malignant lesions.

35 genes

Neural networks are used to identify 32 genes spanning a range of important biological processes, along with 3 control genes, to best classify melanocytic lesions.

2 algorithms

Two proprietary algorithms are applied to the gene expression patterns to identify the malignant potential of a lesion.

1 result

One clinically actionable result in over 96% of the cases including multiple types of benign nevi and malignant melanoma.

DiffDx-Melanoma genes by function

Barrier FunctionCytoskeleton Gene RegulationMelanin Biosynthesis Protein Synthesis Tumorigenesis Control Genes
*CST6 ABLIM1*BAP1 ATP6V0E2 RPL37A ANXA8L1 *FXR1
CSTA DSP GATA3DCT RPS16 BCL2A1 *HNRNPL
*CLCA2 KRT2KLF5 GPR143 *BTG1 *YKT6
*GJA1 KRT17 *SAP130 PTN *CXCL14
HAL NES SFN WIPI1 DUSP4
*MGP *PPL TP63 *S100A8
*S100A9

*Genes also included in DecisionDx-Melanoma assay.

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