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...
University of California researchers used patient data analytics to determine if race and ethnicity-based COVID-19 outcomes disparities are associated with socioeconomic characteristics.
Since the...
According to research from West Virginia University, COVID-19 patients living in rural areas who end up in an intensive care unit face a greater risk of dying, impacting population health.
While the...
While artificial intelligence has become essential in advancing medical research, scientists have yet to work out all the technology’s flaws. A University of Texas at Arlington computer scientist...
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...
While pregnancy outcomes among women with systemic lupus erythematosus (SLE) have improved over time, data analytics indicates that racial and ethnic minority patients are still disproportionately...
Through collecting data for the Mass General Brigham Biobank, researchers found that three-quarters of biobank participants carrying genetic risks for cancer and heart disease had never been...
At the American College of Rheumatology (ACR) annual meeting on November 6, Hospital for Special Surgery researchers presented the results from the RA2-Dream Challenge, a crowdsourced effort to develop...
Indiana University researchers launched a new study to create personalized therapy for patients with triple-negative breast cancer based on genetic data. According to researchers, risk stratification...
According to a recent study examining data analytics, minority populations have been disproportionately impacted with higher rates of COVID-19 infection throughout the pandemic, highlighting health...
Johns Hopkins University researchers developed a machine-learning algorithm that uses predictive analytics to identify adolescents experiencing suicidal thoughts and behavior.
After decades of...
Massachusetts Institute of Technology researchers examined the issue of shortcuts in a popular machine learning method and proposed a solution forcing the model to use more data in its decision-making...
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...
Tulane University researchers discovered that artificial intelligence can accurately detect and diagnose colorectal cancer by analyzing tissue scans as well or better than pathologists.
The study was...
A Mayo Clinic study using data analytics indicates that hospitals can reduce unnecessary blood transfusions and costs by implementing patient blood management programs. According to the findings, blood...
A recent KLAS Research report used analytics to evaluate which vendors deliver the best risk adjustment.
According to the report, there is a growing interest in adopting risk adjustment solutions....
The University of Massachusetts Amherst and Brigham and Women’s Hospital announced the launch of the new Massachusetts AI and Technology Center for Connecter Care in Aging and Alzheimer’s...
Using data analytics, Pennington Biomedical Research Center, Louisiana State University (LSU), and Tulane Health Science Center researchers will investigate prevention and treatment methods for...
Baylor College of Medicine researchers have discovered a genetic signature that can predict poor patient outcomes in estrogen-receptor positive (ER+) breast cancer, potentially leading to personalized...
University of California researchers are studying how to advance personalized treatment for patients with HPV-associated oropharyngeal cancer. The research led by Robert Chin, MD, PhD, a radiation...
