We use genetics in the context of everything we know already about the biology of the genome.

We have invented unique machine learning approaches to incorporate functional information across the entire genome, enabling better prediction of individual disease risk.

\[\begin{matrix} w_{j}^{L} = \sqrt{\frac{\sum g_{i} \in L_{j}s_{i}}{n_{j}}} \\ \end{matrix}\]

We employ state-of-the-art artificial intelligence to distinguish between real signals and random noise.