The Chicago Department of Public Health (CDPH) and Rush University Medical Center (RMUC) recently launched a big data analytics tool that offers information about COVID-19 testing, cases, and...
The end of 2020 marks the conclusion of one of the most formidable years the healthcare industry has seen in recent memory.
The COVID-19 pandemic brought new challenges with it, while also shining a...
A gene expression database analyzed different strains of the bacteria that causes pneumonia, meningitis, and middle ear infections, which could lead to new treatments for these conditions and curb...
Machine learning can help inform public policies around quarantine measures to reduce the spread of COVID-19, according to a study conducted by MIT researchers.
As COVID-19 cases continue to increase...
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...
A data analytics tool shows organizations how different COVID-19 testing strategies and other mitigation methods can help reduce the spread of the virus.
Funded by the National Institute of Biomedical...
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...
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.
For more coronavirus...
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...
An emerging method builds error and uncertainty into artificial intelligence models, ultimately leading to more efficient, precise tools in many areas of research – including...
Combining a deep learning model with medical imaging techniques could help determine the best treatment options for patients with non-small cell lung cancer, according to a study published in Nature...
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...
In an industry as high-stakes and uncertain as healthcare, predictive analytics tools and patient identifiers have emerged as viable solutions for seamless, comprehensive care delivery.
These tactics...
Patient hesitancy to seek care during the pandemic created the perfect storm for delayed care. But big data and analytics are driving population health at Southwestern Health Resources to close care...
An artificial intelligence-driven program will help facilitate big data analytics research among scientists without specialized expertise, according to a study published in Cancer Cell.
The...
With the COVID-19 pandemic impacting US communities in different ways, research and provider institutions have increasingly turned to big data analytics tools to track and monitor the virus’s...
When it comes to healthcare, it seems Americans spend more to receive less.
An aging population, expensive pharmaceuticals, and administrative waste result in sky-high medical costs, while health outcomes remain poorer than those in other...
Parkland Center for Clinical Innovation (PCCI) and Parkland Health and Hospital System have developed a risk index that generates a COVID-19 risk score for each patient using machine learning and big...
While the rapid spread of COVID-19 has exposed many unflattering healthcare truths, the glaring health disparities highlighted by the pandemic are perhaps the most detrimental to patient health.
For...
