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...
Mount Sinai researchers have found genetic differences between 14 tumor types in young adults compared to the same cancers in older adults. To address the population health disparities, researchers...
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...
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...
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...
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...
The Georgia Institute of Technology and Ovarian Cancer Institute researchers are using machine learning algorithms to predict how patients will respond to cancer-fighting drugs.
Advances in machine...
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...
To develop personalized treatment solutions for patients with breast cancer, UC San Diego Health received a $2.1-million gift to launch a comprehensive breast cancer database.
Philanthropists Richard...
Using predictive analytics, a genetic biomarker test can determine how men with high-risk prostate cancer will respond to treatment and deliver more personalized medicine.
In the study, researchers...
Georgia Institute of Technology and Emory University researchers created a new artificial intelligence-based tool to assist clinicians in predicting which symptoms COVID-19 patients will experience...
University of California San Diego and Shiley Eye Institute at UC San Diego Health scientists analyzed how inherited retinal dystrophies (IRDs) impact diverse populations of people. Through the...
University of California San Diego School of Medicine researchers have been awarded $11.7 million to launch the Genetic & Social Determinants of Health: Center for Admixture Science and Technology...
In a study by the National Institute on Aging (NIA), researchers have found that a commonly available oral diuretic pill approved by the United States Food and Drug Administration is a potential...
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...
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...
A recent study indicated that genetic mutations in blood cells caused by smoking and aging-related changed could be risk factors for a rare type of blood cancer that impacts immune cells. The findings...
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...
