Nagourney Cancer Institute researchers in collaboration with the Federal University of Sao Paulo, Brazil, University of California, Irvine, and Todd Cancer Institute discovered metabolic signatures in...
SWOG Cancer Research Network researchers have discovered that blood enzyme activity levels could determine the chronic disease progression of breast cancer.
The study indicated that patients...
By pairing microscopy and artificial intelligence, Beckman Institute for Advanced Science and Technology researchers created a COVID-19 test that is fast, accurate, and cost-effective.
As the pandemic...
A new study of blood samples from nearly 200 COVID-19 patients reveals underlying metabolic changes that regulate how immune cells respond to the infection. These changes are associated with disease...
Deep learning can distinguish between the mammograms of women who will later develop breast cancer and those who will not, according to new research out of the University of Hawaii. Researchers said...
Mayo Clinic researchers alongside the Google Research Brain Team developed a new artificial intelligence algorithm to improve brain stimulation devices to treat movement disorders and epilepsy.
For...
Case Western Reserve University researchers have developed an artificial intelligence tool that can predict if a COVID-19 patient will need help breathing with a ventilator.
The tool was created by...
Children’s National Hospital researchers developed a machine learning tool that offers rapid genetic screening, potentially accelerating the diagnosis of genetic syndromes in children.
The deep...
New artificial intelligence technology for heart imaging could allow doctors to examine a patient’s heart for scar tissue while eliminating the need for contrast injections typically required in...
To effectively use artificial intelligence in chronic disease management, providers must have high-quality and accurate data. According to University of Pennsylvania Medical Center (UPMC) Chief Health...
In a cohort study, researchers compared how an interpretable machine learning triage tool for predicting mortality operates in a cohort of patients admitted to the hospital from the emergency...
Using a decision analytic model, a new study finds that risk-based vaccine prioritization strategies could be the most effective method to reduce the spread of COVID-19 and ensure vaccine distribution...
In a recent research letter, research authors examined how data analytics and electronic health records (EHRs) can assist in targeting marginalized populations to improve COVID-19 vaccine outreach...
Johns Hopkins Kimmel Cancer Center researchers developed novel artificial intelligence blood testing technology to detect lung cancer in patients.
The test approach, called DELFI (DNA evaluation of...
Johns Hopkins Bloomberg School of Public Health researchers found that despite people with hypertension or diabetes having an increased risk of chronic kidney disease, individuals are typically not...
According to a study from the Radiological Society of North America, prediction models based on clinical characteristics and imaging findings could reduce the number of false positives in MRI breast...
Rush University Medical Center researchers conducted a study using machine learning to determine bias within natural language processing (NLP) regarding opioid misuse classifiers.
Over the last 20...
Through data analytics, Spinal Cord Injury Model System researchers identified residential mobility as a social determinant of health in individuals with spinal cord injuries.
The study’s...
By using data analytics, Parkview Medical Center and Pieces Technology addressed social determinants of health and decreased their average length of stay rates among patients.
Parkview Medical Center...
University of Michigan researchers are developing a model that uses predictive analytics to determine an individual’s survival and recurrence outcomes for patients recently diagnosed with...
