Google.org is donating more than $8.5 million to 31 universities, nonprofits, and other academic institutions that are using artificial intelligence and data analytics to combat COVID-19.
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A machine learning model was able to detect different clusters of gut bacteria that could potentially identify individuals with existing cardiovascular disease (CVD), according to a study published in...
A consortium of research scientists has created a common data analytics model and shared framework that will aim to accelerate COVID-19 research by combining information from disparate EHRs...
A predictive analytics tool can accurately forecast patients’ risk of ischemic stroke based on the severity of their metabolic syndrome, a collection of conditions that includes high blood...
TargetCancer Foundation (TCF) has announced the Target Rare Cancer Knowledge (TRACK) study, an initiative that leverages genomic analysis and precision medicine to provide patients and providers with...
A team from the University of Virginia (UVA) has received a five-year, $3.2 million NIH grant to build predictive models that analyze interactions between mucus and bacteria.
The research will focus...
Researchers from Children’s Hospital of Pennsylvania (CHOP) leveraged a new genome mapping approach to pinpoint two new possible therapeutic targets for lupus, while also accurately identifying...
The University of Texas MD Anderson Cancer Center and two institutions at the University of Texas at Austin – the Oden Institute for Computational Engineering and Sciences and the Texas Advanced...
An innovative imaging analytics method helped researchers categorize subgroups of schizophrenia patients using functional magnetic resonance imaging (fMRI) data, according to a study published in...
A team from Florida Atlantic University’s (FAU) College of Engineering and Computer Science is leveraging machine learning technology to build a COVID-19 knowledge base and risk assessment...
The World Health Organization (WHO) is leveraging data analytics and cloud technologies from Amazon Web Services (AWS) to accelerate global efforts to track, contain, and understand COVID-19.
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Researchers from Penn State College of Engineering are aiming to speed COVID-19 drug discovery with quantum machine learning, a field that combines machine learning and quantum physics.
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As COVID-19 has made its way across the US and around the world, healthcare stakeholders from all areas of the industry have prioritized containing the outbreak. Leaders at all levels have utilized...
NIH is renewing its commitment to the Adolescent Brain Cognitive Development (ABCD) study for an additional seven years, allowing researchers to expand big data resources on brain development and child...
Microsoft is dedicating $20 million to advance the use of artificial intelligence and data science in COVID-19 research, with a particular focus on diagnostics, hospital resources, and other critical...
The rapid, global spread of COVID-19 has brought advanced big data analytics tools front and center, with entities from all sectors of the healthcare industry seeking to monitor and reduce the impact...
Researchers at Stanford University have launched an interactive, data-driven model that evaluates possible outcomes of non-pharmaceutical interventions for COVID-19, including social distancing and...
Google Cloud is offering researchers free access to critical coronavirus information through its COVID-19 Public Dataset Program, which will help accelerate analytics solutions during the global...
A new research consortium jointly managed by UC Berkeley and the University of Illinois at Urbana-Champaign (UIUC) is aiming to build artificial intelligence techniques that will help combat...
Private sector organizations have partnered to form the COVID-19 Healthcare Coalition, a collaborative effort that aims to provide real-time data analytics to help those on the front lines of the...