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We are world-class leaders in AI

We help to diagnose patients with difficult to diagnose or rare diseases with our inTrigue product

Our mission is to speed science, reduce the cost of healthcare, and so enhance the economic output and well-being for all

inTrigue

inTrigue: finding undiagnosed or misdiagnosed patients up to 8 years earlier

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Find out more about inTrigue here:

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Automated disease learning is carried out from first principles, producing a mathematical representation of the disease as a starting point in the inTrigue process.

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inTrigue is a standardised, repeatable methodology that produces robust models inspite of the obvious machine learning challenges presented by electronic health records (EHRs), which present with messy, gappy, sparse and unstructured data.

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We deliver a 'human-interpretable" model that can be used by clinicians. It is developed in their language and using their terminology, and it has quantifiable predictive performance, derived from reverse engineering our complex models.

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Healthcare systems vary country by country and in some cases region by region: clinician terms are different; coding is different; and often even the way disease is thought of and treated is different.

Volv creates impact across the healthcare spectrum

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inTrigue creates novel predictors to help find patients much earlier in their journey from initial point of access to receiving care in the medical system. Deploying inTrigue algorithms intelligently into the healthcare system, helps to identify patients much earlier than before.

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inTrigue increases your understanding of the individual elements of the patient journey through ultimately to receiving care, providing valuable insights into the triggers for and incidences of misdiagnosis, so these can be addressed.

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inTrigue reshapes medical practice, helping specialists make better clinical diagnoses, allowing them to treat the precise cohorts of patients that will benefit most from your medicine.

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inTrigue finds patients you know exist but can’t find, and finds patients that you don’t know exist yet. It identifies patient cohorts, and enables precision case finding.

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Thank you from the Volv team

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