According to a multi-institution research team, predictive analytics thrives with input from both artificial intelligence and humans.
“Predictive tasks are ubiquitous — any...
A new prediction model created by Mount Sinai researchers can score risks and determine potential contrast-associated acute kidney injury (CA-AKI) among patients undergoing percutaneous coronary...
Using data from the National Institute of Mental Health, UT Southwestern Medical Center researchers created a predictive model to determine how a patient will respond to antidepressants.
According to...
Johns Hopkins University researchers developed a machine-learning algorithm that uses predictive analytics to identify adolescents experiencing suicidal thoughts and behavior.
After decades of...
Cleveland Clinic researchers developed a new machine learning model that uses predictive analytics to determine whether immune checkpoint blockade (ICB), a growing class of immunotherapy drugs, will be...
As electronic health records continue to grow in healthcare, scientists must have a uniform set of recommendations to conduct research and analyze data.
In a collaborative effort, the University of California, Irvine School of Pharmacy...
The Georgia Institute of Technology and Ovarian Cancer Institute researchers are using machine learning algorithms to predict how patients will respond to cancer-fighting drugs.
Advances in machine...
Using predictive analytics, the University of Colorado School of Medicine and UCHealth University of Colorado Hospital scientists have found specific genetic biomarkers that show who is infected with...
Using predictive analytics, a genetic biomarker test can determine how men with high-risk prostate cancer will respond to treatment and deliver more personalized medicine.
In the study, researchers...
Georgia Institute of Technology and Emory University researchers created a new artificial intelligence-based tool to assist clinicians in predicting which symptoms COVID-19 patients will experience...
Mayo Clinic researchers analyzing patient records found that individuals with acute kidney injury receiving continuous renal replacement therapy (CRRT) once are likely to require the therapy again,...
Mount Sinai researchers created an artificial intelligence-based computer algorithm that can detect subtle changes in electrocardiograms to predict whether a patient is experiencing heart...
University of Chicago researchers used flu data and similarities to create a predictive model showing how COVID-19 spreads.
While COVID-19 is more transmissible and deadlier than most influenzas...
While many risk factors patients face concerning their health are due to genetics, researchers suggest that social determinants of health could also play a role in risk prediction.
In a recent study,...
By combining detailed mapping of the biochemical composition of tumors with machine learning, Johns Hopkins University engineers created the first non-invasive optical probe to understand the complex...
As artificial intelligence capabilities in healthcare continue to advance, regulations and policies need to be put in place to ensure health equality when exploring this new method.
This past June,...
Using predictive analytics, University of Chicago researchers have developed a method to determine an eventual diagnosis of autism spectrum disorder (ASD) in young children. The new computational...
According to a Boston University School of Medicine study, the lack of breast cancer risk prediction models specifically tailored to Black women has created health disparities.
On average, Black women...
Dayton Children’s Health Partners (DCHP) partnered with Innovaccer to get assistance creating a data aggregation platform to streamline efficiency and improve patient outcomes.
DCHP is a...
By examining the relationship between cytokines in saliva and COVID-19 infection, an ongoing study is researching how to use predictive analytics to determine the severity of infection.
In a...
