Decode Health was recently recognized with an AI Innovator Award at the DataRobot AIX 22 global virtual conference. DataRobot is a Boston-based AI cloud platform company that works with customers worldwide across industries and verticals, including almost 40% of Fortune 50 companies.
The teams at Decode Health and IQuity Labs have collaborated for several years leveraging AI to deliver on the power of genomic data. Today, the companies announced they will now operate as Decode Health.
IQuity’s NIH-funded [read more…]
New members bring cross-industry insights to the company
Nashville, Tenn. – Nov. 11, 2020 – Chase Spurlock, PhD, founder and CEO of Decode Health, announced the addition of two members to the company’s Strategic Advisory Board. New [read more…]
One-year-old technology startup Decode Health has developed a predictive artificial intelligence platform that identifies emerging trends in the COVID-19 outbreak, providing governments and other organizations early insights to where resources need to be allocated to provide targeted outreach among high-risk populations.
Board members advise on applications of the company’s AI solution and strategic partnerships
As featured on www.timesfreepress.com, read the full article here.
A data analysis firm in Nashville is warning that Hamilton County is especially vulnerable to COVID-19 due to its demographics and other social, [read more…]
A Nashville-based AI healthcare company predicts a second wave of COVID-19 infections is most-likely in counties near major Tennessee cities. Decode Health creates software for healthcare companies aimed at identifying diseases and creating data analytics. The company has released a map of counties in the state showing where they believe people are most at-risk of being hospitalized and/or dying from COVID-19.
Blue Health Intelligence and Decode Health Team Up to Validate the Accuracy of Predictive Models for Chronic DiseaseDecodeHealth2021-09-02T06:54:12-06:00
CHICAGO (March 10, 2020) – Blue Health Intelligence® (BHI®) and Decode Health are showing how a machine learning (ML) engine can be applied to large data sets to more accurately forecast which patients [read more…]