Researchers from Johns Hopkins Bloomberg School of Public Health used big data analytics to develop a COVID-19 mortality risk calculator, a tool that could inform public health policies around...
Real-time data and location information showed that social environments can have long-term effects on physical health and well-being, according to a study published in the Journal of Health and Social...
While the healthcare industry has made significant strides in leveraging data and technology to treat cancer, gaps in treatments and outcomes continue to persist. Cancer care disparities still pervade...
Real-time data analytics and partnerships between researchers and healthcare providers will help boost heart health, according to a report published in Circulation by the American Heart Association...
Artificial intelligence tools examined a kind of vaccine similar to new COVID-19 vaccines and revealed that it could be less effective in people of black or Asian ancestry, according to a study...
As the opioid epidemic rages on in communities across the US, the healthcare industry has sought the help of big data to inform public policy and population health initiatives.
While large volumes of...
Researchers from UCLA Fielding School of Public Health have identified high-risk population groups in California during the COVID-19 pandemic using demographic data analytics.
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Of the countless pieces of information needed to enhance population health, social determinants of health data are among the most critical.
While it’s widely understood that non-clinical factors...
The Johns Hopkins Health System and the University of Maryland Medical Center have received an award of $43 million over five years to improve population health and chronic disease management for...
Predictive analytics tools could help providers identify infants at risk of developing neonatal abstinence syndrome (NAS) after being exposed to opioids during pregnancy, potentially reducing hospital...
A predictive analytics model examined human mobility patterns in major cities across the US and revealed that non-residential locations – such as restaurants, gyms, and cafes – account for...
To learn more about how socioeconomic factors impact heart health, researchers are increasingly leveraging big data analytics technologies and examining social determinants data at the individual and...
Researchers in Carnegie Mellon University’s Robotics Institute were able to use machine learning technology to reduce food insecurity in Pennsylvania communities during the pandemic.
The team...
A deep learning tool can offer more information about SARS-CoV-2 proteins to accelerate COVID-19 drug discovery, according to a study published in Chemical Science.
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In order to provide holistic, quality care for patients, clinicians have to address the non-clinical factors that influence overall wellness – individuals’ social determinants of...
Policymakers in Wisconsin have developed a ten-year plan to reduce cancer care disparities by improving data quality and expanding access to genetic testing.
Created by the Wisconsin Care...
Using a real-time data monitoring tool, researchers from Michigan Medicine discovered a 15 percent rise in suspected opioid overdose deaths since the early weeks of the COVID-19 pandemic.
The tool...
Web-based predictive analytics methods identified strong correlations between Google search trends and COVID-19 hot spots in parts of the country – as early as 16 days prior to the first reported...
The COVID-19 pandemic has shined a spotlight on the health disparities that pervade the industry, with the virus widening the gaps between advantaged and disadvantaged patient populations.
Identifying...
Predictive analytics models that evaluate genetic and experimental data could more accurately forecast which flu strains will be most prevalent during the next winter, according to a study published in...