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...
University of Los Angeles (UCLA) engineers developed a method to improve diagnostic tools that examine biopsied tissue samples using artificial intelligence. The AI system uses virtual re-staining of...
New York University (NYU) is using a new kind of genomic testing to improve cancer treatment and patient outcomes.
Cancer has proven to be difficult to manage for patients and healthcare providers....
According to a new study, Black and Hispanic children and teens are seeing increasing rates of type 1 and type 2 diabetes, highlighting the role social determinants of health (SDOH) play in...
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...
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...
According to researchers from New York University’s School of Global Public Health and Tandon School of Engineering, machine learning can accurately predict cardiovascular disease and guide...
According to the American Heart Association, genomic studies have made significant advancements in chronic heart disease prevention. However, these improvements have not been seen equality across all...
A new study from the Translational Genomics Research Institute suggests that the airway cells of those with chronic lung disease are primed for COVID-19 infection, meaning that COVID-19 infection in...
