inTrigue
Volv's methodology for finding patients with difficult to diagnose and rare diseases
inTrigue is a new way of building computational models using machine learning to detect undiagnosed rare disease patients in population-scale databases such as electronic health records.
Volv has a number of ancillary products that together with the core predictive modelling make up the inTrigue methodology. The ancillary products and services enrich the insights and learnings derived from the core predictive modelling delivering further value to patients, healthcare providers and payers alike.