In 2020, many patients delayed care due to the COVID-19 pandemic. Despite the vaccine rollout and cases declining from last year, data analytics indicates that significant decreases in CT imaging for...
With artificial intelligence, researchers have developed a method for providing insight into how diseases or injuries change the body, down to individual cells.
The imaging tool known as TDAExplore...
As artificial intelligence (AI) continues to grow in the healthcare field, researchers are findings new ways to utilize its capabilities. In chronic disease management and prevention, especially in cancer research, AI has been critical in...
Using predictive analytics, researchers developed a machine learning tool to determine how lupus nephritis patients will respond to specific treatment options.
Inflammatory kidney disease occurs in...
According to a data analytics study examining health disparities in cancer clinical trials, certain populations remain underrepresented despite attempts to increase participation.
By including...
After creating an artificial intelligence tool using retrospective data, Dartmouth-Hitchcock Medical Center and Cheshire Medical Center are implementing the technology in a clinical trial.
The tool...
According to Michigan Medicine researchers, physicians may be missing early warning signs of kidney disease when examining cerebral palsy patients, failing to promote chronic disease...
Boston University School of Medicine researchers have discovered a metabolic enzyme and pathway in some triple-negative breast cancer (TNBC) patients. According to researchers, the hope is that their...
University of Pittsburg School of Medicine and Carnegie Mellon University researchers are using machine learning and whole-genome sequencing to improve the detection of infectious disease...
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...
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...
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...
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...
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...
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...
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...
Although young patients with metastatic colorectal cancer tend to be more fit and receive more intensive treatment than older patients, both groups have roughly the same survival rate. That is the main...
