DigitalTwin.health offers a platform and interface that presents a detailed concept map of an individual's medical and genomic data, creating a "digital twin" representation.

This map includes the person's genome, identified gene variants relevant to diagnosed conditions, and their mapping to body systems, value sets, and clinical code sets over time.

Users can access in-depth information about their genome, uncovering genetic variations with potential implications for diagnosed diseases, conditions, treatments, and prescribed medications.

Detailed profiles of specific genes and gene variants are available, including depictions and variant locations, along with information on the type of interaction that may occur.

By applying the Louvain Modularity algorithm, the platform identifies tightly knit groups within the network, revealing relationships between genetic variants, social determinants of health, and an individual's health risk.

For instance, users can explore genetic variants by zip code to uncover potential links between social determinants of health and overall health risks.