A San Francisco startup is partnering with the NIH to address a key challenge posed by the agency collecting the largest set of COVID-19 patient records since June: How can access to that repository be broadened for researchers without compromising the privacy of patients who contributed all that data Syntegra plans to tackle that challenge by applying its synthetic data engine to the NIH’s National COVID Cohort Collaborative (N3C). The company uses machine learning to create validated “synthetic data”—replicas of healthcare data that are designed to precisely duplicate its statistical properties, with patient privacy protected by removing all links to the original.
— Clinical Omics, Alex Philippidis: January 20, 2021
This is the first description of an ongoing longitudinal observational study of patients seen in diverse clinical settings and geographical regions and is the largest COVID-19 cohort in the United States. Such data are the foundation for ML models that can be the basis for generalizable clinical decision support tools. The N3C Data Enclave is unique in providing transparent, reproducible, easily shared, versioned, and fully auditable data and analytic provenance for national-scale patient-level EHR data. The N3C is built for intensive ML analyses by academic, industry, and citizen scientists internationally. Many observational correlations can inform trial designs and care guidelines for this new disease.
— DocWireNews: January 20, 2021 (Originally Published Here)
The NIH, FDA and Bill and Melinda Gates Foundation are working with a San Francisco startup whose calling card is an AI-enabled engine that renders patient data unidentifiable by reproducing it in synthetic versions. The startup, Syntegra announced the development Jan 18, 2021. The parties will collaborate around opening access to EHR data as part of the NIH’s COVID Cohort Collaborative (N3C), which is marshaling resources and expertise for researchers studying SARS-CoV-2 and its effects on U.S. healthcare.
— Innovative Health, Dave Pearson: January 20, 2021
Syntegra and the NIH's National COVID Cohort Collaborative (N3C) 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. 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, can help in rapidly expanding the reach and usage of this data in driving Covid-19 insights, and can set the basis for increasing data access to life science researchers in other major fields of disease understanding and drug and device development.
— Pharmaceutical Technology: January 19, 2021
California information technology and services company Syntegra and the National Institutes of Health (NIH) have signed a partnership to 'democratize access to the largest set of COVID-19 patient records' with the use of Syntegra's synthetic data engine
— BioPharma Reporter, Rachel Arthur: January 18, 2021
The Centers for Disease Control and Prevention is recommending individuals with comorbidities get vaccinated from the coronavirus early, which now includes those with Down syndrome. “The increased risk conferred by Down syndrome in terms of COVID-19 hospitalization and mortality is equivalent to adding 40 years to your birth certificate” suggests findings from the United Kingdom published in the Annals of Internal Medicine. Data from the National COVID Cohort Collaborative shows similar trends for Down syndrome patients who have contracted COVID-19 in the U.S.
— NPR, Lisa Mullins & Samantha Raphelson: January 15, 2021
One of UTHSC’s data scientists is applying her extensive expertise in informatics to a national effort to leverage big data in the fight against COVID-19. Charisse Madlock-Brown, PhD, MLS, a faculty member in Health Informatics and Information Management at UTHSC, is a co-lead for one of the clinical domain teams of the National COVID Cohort Collaborative (N3C). "As co-lead for the SDoH task team, I can facilitate the development of robust research protocols, integrate various data sets, coordinate training on the N3C platform, collaboratively analyze COVID-19 data, and provide opportunities for investigators to share related research and propose ideas."
— The Tennessee Tribune: January 14, 2021
As a partnership between NIH, Syntegra, and the Bill and Melinda Gates Foundation an artificial intelligence-enabled synthetic data generator that converts clinical data of any kind into equivalent versions that don't expose sensitive patient-identifying details is being put to use as a component of the National Institutes of Health-steered National COVID Cohort Collaborative.
— NextGov, Brandi Vincent: January 14, 2021
N3C has a higher potential for business to partner with research in an agile rapid manner than do most research infrastructures. A combination of cloud computing, open data, and hosting ensures that your business can utilize the N3C Data Enclave. This cloud-based platform has taken research from an expensive system that we each need to implement into an inexpensive solution that we can all access. The solution ensures the business will eliminate the traditional costs and time associated with large, expensive research facilities. It allows business to do what it does best: rapidly innovate and leverage data to deploy solutions at facilities around the nation.
— HIStalk, Jeremy Harper: January 6, 2021
Regenstrief Institute, Indiana Clinical and Translational Sciences Institute (CTSI) and Datavant are supporting the National Institutes of Health (NIH) in a national effort to securely gather data to help scientists understand and develop treatments for COVID-19. Supported by a contract from the NIH, Regenstrief will serve as the national project’s Honest Data Broker, using specialized technologies and processes to create more complete and informative data sets. Specifically, the Honest Data Broker will handle requests for data and manage a process referred to as “privacy-preserving record linkage” (PPRL) using technologies and approaches that help ensure N3C data are shared safely, securely and privately, all in compliance with HIPAA standards.
— Regenstrief Institute: November 9, 2020
From the early days of the COVID-19 pandemic, epidemiologist Melissa Haendel knew that the United States was going to have a data problem. There didn’t seem to be a national strategy to control the virus, and cases were springing up in sporadic hotspots around the country. The solution Haendel and CD2H landed on sounds simple: a centralized, anonymous database of health records from people who tested positive for COVID-19.
— The Verge, Nicole Wetsman: October 19, 2020
Maine Medical Center’s Research Institute (MMCRI) has received a $203,000 grant sub-award from West Virginia University for a National Institute of General Medical Sciences (NIGMS) initiative to create a centralized national data platform that scientists can use to study COVID-19 and identify potential treatments.
— Maine Health, Caroline Cornish: October 19, 2020
The University of Kentucky' Center for Clinical and Translational Science (CCTS) is partnering with the National Center for Advancing Translational Science (NCATS), the National Center for Data to Health, and around 60 other clinical institutions affiliated with the NCATS Clinical and Translational Science Awards Program to leverage big data in the fight against COVID-19.
— University of Kentucky, Mallory Powell: July 8, 2020
Two favorite quotes are at the top of my mind this month: "Much is known, but unfortunately in different heads." and "Be the change you want to see in the world." The first quote reminds us that the answers to the most complex questions require bringing together puzzle pieces held by different people — and that the more diverse those people are, the more complex the questions we can answer.
— NCATS, Christopher P. Austin, MD: June 30, 2020
Scripps Research joins national effort to develop medical record analytics to improve COVID-19 patient outcomes
Data scientists at Scripps Research are applying their extensive expertise in informatics to a nationwide effort to enable the research community to access and analyze medical record data from patients diagnosed with COVID-19. The rich data stored in electronic medical records may offer clues to better care for those diagnosed with coronavirus disease.
— Scripps Research Institute: June 25, 2020
Oregon State University is helping the National Institutes of Health to harness the power of big data in the fight against COVID-19, the disease caused by the novel coronavirus SARS-CoV-2.
— Oregon State University Newsroom: June 22, 2020
The National Institutes of Health (NIH) announced Monday a new “centralized, secure enclave” of medical record data from coronavirus patients diagnosed nationwide. The analytics platform is part of a new effort called the National COVID Cohort Collaborative (N3C), to help scientists analyze data to understand the disease and develop treatments, according to a press release.
— Fox News, Kayla Rivas: June 16, 2020
The National Institutes of Health has launched a centralized, secure enclave to store and study vast amounts of medical record data from people diagnosed with coronavirus disease across the country. It is part of an effort, called the National COVID Cohort Collaborative (N3C), to help scientists analyze these data to understand the disease and develop treatments. This effort aims to transform clinical information into knowledge urgently needed to study COVID-19, including health risk factors that indicate better or worse outcomes of the disease, and identify potentially effective treatments.
— NIH: June 15, 2020
The National Institutes of Health has launched a national database to collect medical information on coronavirus patients in the United States. This effort aims to transform clinical information into knowledge urgently needed to study COVID-19, including health risk factors that indicate better or worse outcomes of the disease, and identify potentially effective treatments.
— CNN, Shelby Lin Erdman: June 15, 2020
Scientists creating secure, central database of electronic health records from coronavirus patients
— OHSU, Franny White: May 26, 2020