According to a recent study, heightened allostatic load due to social determinants of health stressors are linked to a lower likelihood of completing chemotherapy and a lower overall survival rate for...
To advance their precision medicine research, Washington University School of Medicine has adopted artificial intelligence-based natural language processing tools to assist in sorting their...
Regenstrief Institute researchers created a new prediction model that determines an individual’s risk for colon cancer and precancerous polyps.
The work was led by Thomas F. Imperiale, MD,...
As the COVID-19 pandemic continues to spread worldwide, hospitals are searching for ways to keep their patients safe from potential hospital-acquired infections. Different methods have included hygiene...
To better understand ventricular arrhythmias, Johns Hopkins University researchers are studying the use of whole-heart computational models. Whole-heart computational modeling can lead to personalized...
Using predictive analytics, a set of seven symptoms together can be used to maximize the detection of COVID-19 in a community. The paper was published in PLOS Medicine by Elliott of Imperial College...
Beckham Institute Biophotonics Imaging Laboratory researchers applied deep learning to polarization-sensitive optical coherence tomography (PS-OCT) to improve cancer diagnostic tools.
OCT systems are...
The National Kidney Foundation (NKF) and the American Society of Nephrology (ASN) Task Force released a report outlining a new race-free approach to diagnosing chronic kidney disease.
In the joint...
UT Southwestern Medical Center and the University of Texas MD Anderson Cancer Center researchers developed an artificial intelligence method to determine anti-cancer immunity.
According to...
Cleveland Clinic researchers collaborated with Owkin to develop and validate a deep learning model to predict survival and outcomes for hepatocellular carcinoma (HCC) patients after liver...
Yale University researchers suggest that a standard measurement that uses predictive analytics to determine which COVID-19 patients have the best chances of survival could promote health disparities...
Artificial intelligence (AI) is making a dent in healthcare in the US and around the globe, helping leaders in Europe, South America, and Asia improve outcomes and cut costs, dissolving key pain points...
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...
A predictive model estimated that cervical cancer could be virtually eliminated in the United States by 2030 in communities with low poverty rates, but not until 2044 in communities with high poverty...
As providers search for ways to improve their methods of care, social determinants of health (SDOH) have become an increasingly popular area of research.
These social factors, which impact...
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...
A new study indicated that a precision medicine test using blood proteins can identify patients with idiopathic multicentric Castleman disease (iMCD) and are most likely to respond to treatment.
The...
Using predictive and data analytics, Brigham and Women’s Hospital researchers developed a resource to better understand the cognitive decline in individuals due to Alzheimer’s disease...
Understanding an individual’s risk of disease is critical to providing the best quality of care. With health risk assessments (HRAs), also known as health risk appraisals, providers can collect...
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...
