By using socioeconomic and clinical data, researchers developed an artificial intelligence tool to predict 30-day mortality risks in patients with cancer.
Cancer is one of the leading causes of death...
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...
By using machine learning algorithms, researchers examined if creating a large-scale electronic health record (EHR) data-based lung cancer cohort could be effective in studying a patient’s...
Researchers from the Buck Institute and Stanford University have created an inflammatory clock for aging (iAge) that uses deep learning and predictive analytics to determine immunological health and...
Researchers using precision medicine discovered signs of rapid decline in kidney function from patients with type 1 diabetes. Diabetes is the leading cause of kidney failure in the United States....
As artificial intelligence (AI) technology becomes more interrogated into the medical community, mastering the element of predictive analytics will be a critical component in bettering the quality of...
Efficiency is one of the large goals of the healthcare industry, especially when it comes to chronic disease management. The introduction of big data analytics has helped pave the way for a faster and...
In an analysis of hypertension control in the US from 2009 to 2018, researchers found that rates of blood pressure control in the US are falling rapidly, pointing to a larger population health issue,...
Michigan State University, in partnership with Bold Advanced Medical Future (BAMF Health), announced the arrival of two cyclotrons to be used in the advancement of precision medicine treatments for...
Realyze Intelligence, a company launched recently by The University of Pittsburgh Schools of the Health Sciences (UPMC), will use natural language processing and artificial intelligence to pinpoint...
Deep brain stimulation has sustained benefits for Parkinson’s patients fifteen years after device implantation, a recent study published in Neurology reveals. Study participants continue to...
Machine learning can quickly analyze EHR data to identify chronic kidney disease, a condition which often goes undetected until it causes irreversible damage, a study published in npj Digital Medicine...
For organizations that want to deepen their knowledge of disease risk and health outcomes, genomic data has emerged as a comprehensive resource that can provide clinicians with new insights.
While the...
Genomic data can provide more targeted insights into chronic disease management than those generated from traditional ethnic or racial labels like Hispanic or Black, a study published in Cell...
A new blood test may reveal the biological basis of mood disorders and offer precision medicine approaches to treatment, according to a study published in Molecular Psychiatry.
Mood disorders affect...
A first-of-its-kind genomic data analysis revealed 13 new genetic variants associated with Alzheimer’s disease, according to a study conducted by researchers from Massachusetts General Hospital...
Black individuals in rural parts of the US have experienced higher chronic disease death rates than whites in the last 20 years, reflecting significant racial disparities and gaps in care.
In a...
Machine learning could help providers monitor and predict multiple sclerosis disease progression in individual patients, according to a study published in Institute of Electrical and Electronics...
Artificial intelligence could help identify potential errors in a patient’s medication self-administration method, leading to reduced hospitalizations and healthcare costs, according to a study...
Researchers from the University of Florida will use a $5 million grant from NIH to test a new artificial intelligence tool aimed at improving the diagnosis of Parkinson’s and related...
