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...
A machine learning approach can analyze placenta slides and inform more women of their health risks in future pregnancies, leading to lower healthcare costs and better outcomes, according to a study...
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...
Cleveland Clinic researchers have built a predictive analytics model to better understand which patients with COVID-19 are at high risk of hospitalization from the virus.
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NIH has announced that it will provide $75 million in funding over five years for the Electronic Medical Records and Genomics (eMERGE) Genomic Risk Assessment and Management Network, which aims to...
Researchers from Binghamton University, State University of New York have developed several predictive analytics models to examine COVID-19 trends and patterns around the world.
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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...
Cleveland Clinic researchers have developed a predictive analytics model to determine an individual patient’s likelihood of testing positive for COVID-19, as well as their potential outcomes from...
Using genetic risk scores could help identify patients at high risk of heart attack who are not presently identified using traditional clinical methods, according to a study published in the Journal of...
The rapid spread of COVID-19 has threatened to overwhelm hospitals and health systems across the country, leading many providers to defer surgeries and other procedures for an unknown period of...
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...
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,...
Researchers at the HudsonAlpha Institute for Biotechnology, the University of California, San Francisco (UCSF), and the University of Alabama at Birmingham (UAB) have uncovered a new genetic risk...
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 medicine, risk scoring is one of the best methods providers can use to anticipate and prepare for an adverse event. Using patient data and analytics tools, clinicians can determine the likelihood...
A genetic variant responsible for driving the development of inflammatory bowel disease (IBD) is associated with a genetic pathway that is involved in other immune disorders, indicating that this...
As the COVID-19 pandemic continues to disrupt the status quo, the healthcare industry is turning to real-world data to better understand, monitor, and prepare for whatever the virus may bring.
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Researchers from Stanford University’s department of surgery have developed a predictive model that provides best practice guidelines for operating room team members during the COVID-19 pandemic...
Using artificial intelligence, NYU researchers accurately predicted which patients newly diagnosed with COVID-19 would go on to develop severe respiratory disease, according to a study published in...
Mount Sinai researchers have developed new predictive analytics tools and identified environmental risk factors that could lead to a new understanding of what triggers Crohn’s disease.
In a...
