We use data sequentialing to best represent characterized models for patient data to be uncovered from millions of data streams that overlook underrepresented patient information.
We believe that each data set represents a story that we want to make sure the patient can keep telling. Data sets that take potential inclusive life-saving therapeutics forward.
Deeper than science
We have public-private partnerships to pull and aggregate raw data sets that are derived from more than just health and biological data. Powered by StarSense, we’re driving data as the canvas that illustrates comprehensive:
Disease Prevalence Analytics
Real World Evidence
Using Data to Transform
Outcomes for Communities
We're reaching the communities that have been swept under the therapeutic research spectrum so we can create individualized patient universes from a precision journey. That includes these communities:
Taking scores of data input to transform predictive successes into the next pathway for therapeutic outcomes
Sphere of Cancer Influence
Patient environmental data to uncover a portion of related illness factors
Intrinsic patient data to learn about behaviors and modifiers of disease morphology
Pulling data that can enhance pathogenic and epidemiological intelligence