Syntegra and the US National Institutes of Health (NIH) have collaborated to expand access to the largest set of Covid-19 patient records using the former’s AI-enabled synthetic data technology.
Through its Covid-19 Therapeutic Accelerator, the Bill and Melinda Gates Foundation is backing the partnership between Syntegra and the NIH.
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The NIH will be able to provide far less restricted access to the largest available repository of patient-level Covid-19 electronic medical records using Syntegra’s synthetic data engine.
In addition, it can help in rapidly expanding the reach and usage of this data in driving Covid-19 insights, as well as setting the basis for increasing data access to life science researchers in other major fields of disease understanding and drug and device development.
Syntegra’s data engine will be a major component of the National COVID Cohort Collaborative (N3C).
It will validate the production of a non-identifiable synthetic version of the complete dataset which has over 2.7 million screened people, including over 413,000 Covid-19 patients, and 2.6 billion rows of data.
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By GlobalDataThis public-private collaboration includes over 70 contributing healthcare organisations.
Syntegra founder and CEO Michael Lesh said: “The promise of ‘big-data’ and precision medicine won’t be fulfilled unless we can share data siloed throughout the healthcare system while guaranteeing patient privacy.
“With the Covid-19 pandemic, there has never been a time when rapid, low burden access to patient-level data, at scale, was more urgent.
“Our novel AI technology produces a brand new dataset that accurately represents all of the statistical patterns in the underlying health records.”
With Syntegra-enabled rapid access to data, physicians, scientists and researchers will be able to speed up enabling major focus areas for the N3C, like disparities (racial and ethnic) in Covid-19 spread and risk.
Furthermore, areas like predictors of hospitalisation, long-term adverse effects and the impact of the disease on hospitals can be studied.
