A team from NYU Langone Health analyzed EHR data and found that low levels of blood oxygen and markers of inflammation were strongly associated with poor outcomes among patients...
Alabama, North Dakota, and South Carolina are the first states to publicly comment about using Apple and Google’s COVID-19 contact tracing technology, now available to public health agencies on...
Using machine learning, scientists may be able to assess the role climate and environmental variables play in the transmission of COVID-19.
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Artificial intelligence has the potential to help address global health challenges, but stakeholders must promote rapid and equitable data access and establish ethical standards in order to use the...
A team from Penn Medicine has shown that public health officials can use natural language processing techniques to track surges in interest in COVID-19 topics on online forums, such as Reddit.
For...
The University of California, Irvine, and the Orange County Health Care Agency are partnering to conduct a large-scale population health study that will help researchers determine the true prevalence...
The Department of Health and Human Services Office of the Inspector General (HHS OIG) has developed two toolkits to identify certain patients at risk of opioid misuse or overdose using prescription...
With the healthcare industry steadily moving toward more holistic, preventive care delivery, health systems have increasingly recognized the critical role the social determinants of health play in the...
COVID-19 data gathered during the pandemic has shed light on significant healthcare disparities, revealing poorer outcomes in minority and underserved communities.
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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...
Certain risk scores already used to evaluate the severity of a trauma patient’s condition can also help providers determine which patients are highly likely to develop multiple infections,...
A Rutgers engineer has developed a data-driven model that accurately estimates the death toll related to the COVID-19 pandemic in the US and could be used around the world.
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County-level data collected during the COVID-19 pandemic has revealed staggering racial and ethnic disparities in care, with the virus disproportionately impacting black and Hispanic populations....
A predictive analytics model was able to accurately identify patients at higher than normal risk for pancreatic cancer, according to a study published in Cancer Epidemiology, Biomarkers &...
In the largest study of hospitalized COVID-19 patients in the US, researchers leveraged EHR data to find that hypertension, diabetes, and obesity are key chronic diseases in the acuity of the...
In the global effort to slow the spread of COVID-19, many countries have adopted social distancing and quarantine measures to mitigate the impact of the pandemic. Now, researchers are using machine...
Regenstrief Institute has developed a big data dashboard to help the state of Indiana track and respond to the COVID-19 outbreak.
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In the context of COVID-19, state-level decision-makers should conduct risk assessments to better understand how to move from strict social distancing measures to a staged reopening phase, according to...
In the largest-ever whole genome sequencing study of schizophrenia, researchers discovered that rare structural genetic variants could play a role in the development of the disorder.
The findings...
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...
