In an updated analysis, data showed that COVID-19 reduced life expectancy in the United States by 1.3 years in the year 2020. Especially impacted were Black and Latino populations, revealing...
A recent antibody study analyzed preserved biospecimens from the National Institutes of Health’s (NIH) All of Us Research Program and discovered that COVID-19 infections appeared as early as...
An artificial intelligence algorithm can parse gene expression data to predict patient outcomes by identifying signature genes that reveal the severity of viral infection immune response including...
Contact tracing was largely ineffective in slowing COVID-19 virus transmission and improving population health, mostly due to insufficient interview responses, according to a recent study published in...
In a recent opinion piece published in JAMA Network, experts explored the use of precision medicine in treating COVID-19 and identified a potential pathway for defining COVID-19 subtypes. The authors...
Researchers developed a machine learning model that uses predictive analytics to detect a COVID-19 patient’s risk of death or dialysis treatment, a new study published in the Clinical Journal of...
In medical practice, prevention is the pinnacle of quality care delivery.
Reaching patients before they develop a costly disease or experience an adverse health event can not only boost outcomes, but also reduce expenses and...
A new study by the Boston University School of Public Health (BUSPH) leveraged age-adjusted and state-level data analytics and found that racial disparities are broader than previous research...
Using predictive analytics and X-ray imaging data, an artificial intelligence computer program predicted which COVID-19 patients would develop life-threatening medical issues within four days with up...
A predictive analytics model can forecast where disease will spread from an outbreak, in what patterns, and how quickly, according to a study published in Proceedings of the National Academy of...
In order for artificial intelligence to act as a public health tool after COVID-19, policymakers will need to increase training and validation of these solutions, as well as enhance data governance and...
The University of Utah (the U) has partnered with ARUP Laboratories and Techcyte Inc. to develop NanoSpot.AI, a quick and simple COVID-19 antibody test fueled by artificial intelligence.
NanoSpot.AI...
While health equity has been a top priority among leaders in the industry for several years, the equitable distribution of resources became even more critical during COVID-19.
From testing to care...
Researchers from Michigan Medicine have developed a predictive analytics model that can accurately identify patient deterioration for both general ward and COVID-19 patients.
The algorithm was more...
A machine learning algorithm could help public health officials identify COVID-19-related conspiracy theories on social media, potentially reducing the spread of misinformation online, a study...
With the broadening availability of COVID-19 vaccines, it seems the US is finally beginning to see the light at the end of the pandemic-enveloped tunnel. After more than a year of uncertainty and...
An analysis of genetic data indicates that leaders should prioritize clinical trials of two proteins – IFNAR2 and ACE2 – to better treat COVID-19 in its early stages.
In a study published...
A big data framework combining epidemiological and socioeconomic risk factors revealed that COVID-19 risk increased in areas with more crowding, population mobility, and morbidity, while risk decreased...
In healthcare, predictive analytics tools have always been one of the most promising applications of big data. The ability to anticipate negative consequences before they occur is a major asset for any...
The National Minority Quality Forum (NMQF) has launched its COVID-19 Index, a predictive analytics tool that will help leaders prepare for future surges of coronavirus.
The COVID-19 Index will enable...
