By studying genetic mutations in patients with schizophrenia, researchers can identify disease-associated genetic variants, paving the way for precision medicine.
The research was conducted...
By studying diverse populations, researchers found genetic variants associated with blood lipid levels and created a polygenic risk score to predict elevated low-density lipoprotein cholesterol...
To identify patients at high risk of aortic aneurysm, Massachusetts General Hospital (MGH) researchers used deep learning to analyze how genetics could impact aorta size. According to researchers, the...
Organizations are constantly looking for ways to enhance treatment and patient experience. By incorporating National Comprehensive Cancer Network (NCCN) guidelines and precision medicine, CVS Health is working to improve cancer patient...
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...
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...
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...
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...
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...
Using predictive analytics, the University of Colorado School of Medicine and UCHealth University of Colorado Hospital scientists have found specific genetic biomarkers that show who is infected with...
In a retrospective study led by the National Institutes of Health’s National Center for Advancing Translation Sciences (NCATS), researchers provide evidence that individuals with rare diseases...
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...
According to a collaborative research study from the University of Utah Health, Fabric Genomics, and Rady Children’s Hospital, artificial intelligence-based technology can rapidly diagnose rare...
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...
By examining the relationship between cytokines in saliva and COVID-19 infection, an ongoing study is researching how to use predictive analytics to determine the severity of infection.
In a...
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...
