Genome sequencing can reveal an individual’s risk for specific health conditions throughout their life. While some advocate for testing on all newborns to address disease risks early in life,...
According to a new statement from the American Heart Association, cardiovascular genetic testing in children presents challenges that require pre-and post-test counseling with a personalized approach...
Johns Hopkins Bloomberg School of Public Health researchers found that despite people with hypertension or diabetes having an increased risk of chronic kidney disease, individuals are typically not...
Harvard Medical School (HMS) and Clalit Research Institute are launching a collaborative effort to advance precision medicine. The opportunity for collaborations was enabled by a donation from the...
With the use of broad data collection, medical professionals can provide better care for their patients and eliminate health disparities. However, as health analytics advances to improve outcomes for...
According to a study from the Radiological Society of North America, prediction models based on clinical characteristics and imaging findings could reduce the number of false positives in MRI breast...
Excluding race as a factor from the Chronic Kidney Disease-Epidemiology Collaboration (CKD-EPI) equation used to guide cancer treatment doses and eligibility could decrease the proportion of Black...
In a genome-wide association study, Perelman School of Medicine at the University of Pennsylvania researchers identified 182 genes potentially linked to kidney function and 88 genes for hypertension....
Using predictive analytics is a critical step toward chronic disease prevention, allowing providers to recognize early signs of illness and intervene. While some may be at a higher risk of chronic...
University of Michigan researchers are developing a model that uses predictive analytics to determine an individual’s survival and recurrence outcomes for patients recently diagnosed with...
UT Southwestern Medical Center researchers have discovered a method to predict which skin cancers are highly metastatic with the help of artificial intelligence. The study in Cell Systems examined how...
To effectively document the severity of patient conditions and use risk stratification, the Community Health Network (CHN) in Indiana has streamlined hierarchical condition category (HCC) coding to...
University of Pittsburg researchers used a data analytics algorithm to algorithmically cluster individuals with chronic pain by pain distribution, paving the way for better more personalized medicine....
Moffitt Cancer Center researchers discovered a link between cutaneous human papillomavirus and squamous cell carcinomas that could contribute to the development of keratinocyte carcinomas, also known...
Michigan Medicine researchers have found a protein that could predict the severity of a chronic lung disease that is often fatal in patients with scleroderma. These findings could indicate how...
To understand the relationship between pre-existing conditions and complications of COVID-19 infection, researchers are using natural language processing (NLP) to sift through unstructured EHR...
Georgetown Lombardi Comprehensive Cancer Center researchers are studying DNA tags in blood-based tests to better assess and treat cancer and other diseases using precision medicine.
During cell death,...
Researchers at St. Jude Children’s Research Hospital have discovered that comprehensive genomic sequencing of all pediatric cancer patients is achievable and essential in the development of...
Artificial intelligence and deep learning models have become important and powerful tools in cancer treatment. By analyzing digital images or tumor biopsy samples, AI can assist physicians in...
By method of a randomized, placebo-controlled clinical trial, Boston Children’s Hospital will use precision medicine to treat a form of severe asthma to which Black and Latinx children and adults...
