Data is the foundation for preventive health care, and
there are two types of health data:
that depicts relations of each user’s static-health-data (age, gender, genetics, family history, etc.) and dynamic-health-data (lifestyle, daily behavioral choices, medication, etc.)
In short, it creates a model and representation of each user and the cohort they belong to. The result is a personalized action plan targeted to each individual.
The ixlayer Health-Data-Graph system utilizes data tagging to provide tailored action plans
for users.
that depicts relations of each user’s static-health-data (age, gender, genetics, family history, etc.) and dynamic-health-data (lifestyle, daily behavioral choices, medication, etc.)
In short, it creates a model and representation of each user and the cohort they belong to. The result is a personalized action plan targeted to each individual.
Allowing the combination of static and dynamic health data to be the driver
for personalized recommendations and targeted action plans.
ixlayer’s platform allows researchers to easily query, manipulate, and search data in a fully
aggregated and de-identified way to ensure participant privacy.
Mix and match different options to investigate the effect of genotype on multiple traits or investigate multiple genotypes that affect the same trait: select genotype and phenotype combinations to plot heatmaps to facilitate comparative analysis or interaction effects.
ixlayer prides itself on having all data protection compliance, including the highest
of standards for DoD IL5 GovCloud including all data compliances.
