A team of researchers at Rensselaer Polytechnic Institute is creating new artificial technology techniques that protect algorithms from vulnerabilities such as contaminated data, malicious attacks, or...
Mayo Clinic researchers have discovered new risk factors impacting the population health of those under 45 when it comes to severe COVID-19 infection.
Using data from 9,859 COVID-19 infections,...
By using socioeconomic and clinical data, researchers developed an artificial intelligence tool to predict 30-day mortality risks in patients with cancer.
Cancer is one of the leading causes of death...
A new study from the Translational Genomics Research Institute suggests that the airway cells of those with chronic lung disease are primed for COVID-19 infection, meaning that COVID-19 infection in...
With the COVID-19 pandemic highlighting gaps in healthcare and access to service, providers are searching for ways to improve the well-being of their members. By implementing predictive analytics,...
With the goal of using real-world clinical data and precision medicine to deliver better care for cancer patients, MedStar Health and COTA announced a new research partnership.
Through the...
In a recent clinical study, scientists at Stanford University confirmed a new model of mental health treatment in which artificial intelligence therapy is implemented, significantly reducing symptoms...
By using machine learning in healthcare, researchers from Florida Atlantic University's College of Engineering and Computer Science and collaborators are creating prosthetic hands that can...
By using machine learning algorithms, researchers examined if creating a large-scale electronic health record (EHR) data-based lung cancer cohort could be effective in studying a patient’s...
A recent JAMA study highlights risk factors associated with the severity of COVID-19 in individuals using machine learning models and predictive analytics. By studying COVID-19 severity and risk...
Researchers from the Buck Institute and Stanford University have created an inflammatory clock for aging (iAge) that uses deep learning and predictive analytics to determine immunological health and...
According to an analysis of Mayo Clinic data by artificial intelligence company nference, anemia-related laboratory tests should be considered in risk stratification algorithms for COVID-19...
A new University of Washington study model looks at the impact law enforcement has on population health. Specific police actions, such as arrests or shootings, have a direct and immediate effect on...
A new study from the University of Arizona Health Sciences could lead to a breakthrough in the development of precision medicine to prevent neurodegenerative diseases.
By studying women on hormone...
A study led by researchers at The Ohio State University Wexner Medical Center and The Ohio State University College of Medicine shows that a new method of gene therapy is providing...
Researchers using precision medicine discovered signs of rapid decline in kidney function from patients with type 1 diabetes. Diabetes is the leading cause of kidney failure in the United States....
Through genomic analysis, researchers have discovered 13 loci, or locations in the human genome, that are strongly associated with infection or severe COVID-19. The team of researchers has also...
By using demographic data and predictive analytics, researchers have determined that without the COVID-19 vaccine rollout program, the United States would have seen an additional 279,000 deaths and...
Using continuous monitoring and predictive analytics can cut medical costs by nearly $535,000 annually, according to an economic data model from Medtronic.
Specifically, continuous pulse oximetry and...
As artificial intelligence (AI) technology becomes more interrogated into the medical community, mastering the element of predictive analytics will be a critical component in bettering the quality of...
