News

Data Management Improves Care Quality, Reduces Health Disparities

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To improve their care quality and eliminate health disparities, Health Center Partners (HCP) explored different data management tools to meet the needs of their patient population. After identifying...

Age, Chronic Conditions, Comorbidities Impact COVID-19 in Children

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At Monroe Carell Jr. Children’s Hospital at Vanderbilt University Medical Center, a group of physicians has identified older age, chronic conditions, and comorbidities as risk factors for severe...

Definitive Healthcare Exceeds Initial Public Offering Projections

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On Wednesday, Definitive Healthcare opened 38.0 percent above the initial public offering’s price. Definitive provides a healthcare commercial intelligence and analytics platform, and its IPO is...

Blood Enzyme Activity Predicts Chronic Disease Progression

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SWOG Cancer Research Network researchers have discovered that blood enzyme activity levels could determine the chronic disease progression of breast cancer.  The study indicated that patients...

Neurodegenerative Disease Insights Can Advance Precision Medicine

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Rutgers researchers discovered some of the first molecular insights into how toxic proteins are regulated in neurodegenerative disease, potentially advancing precision medicine efforts. The most...

SDOH-Related Stress Can Lead to Increased Risk of Heart Disease

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Stress due to social determinants of health can increase an individual’s risk of heart disease, according to the American Heart Association. Studies have indicated that cumulative exposure to...

How Proteins in Acute Myeloid Leukemia Support Precision Medicine

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Sanford Burnham Prebys Medical Discovery Institute scientists discovered that the protein RNF5 plays an unusual role in acute myeloid leukemia (AML). By targeting the specific protein, researchers...

Microscopy, Artificial Intelligence Aids Detection of COVID-19

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By pairing microscopy and artificial intelligence, Beckman Institute for Advanced Science and Technology researchers created a COVID-19 test that is fast, accurate, and cost-effective. As the pandemic...

Predictive Model Projects Cervical Cancer Elimination

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A predictive model estimated that cervical cancer could be virtually eliminated in the United States by 2030 in communities with low poverty rates, but not until 2044 in communities with high poverty...

Why Genetic Testing Is Key to Advancing Precision Medicine

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Due to genetics, not every patient responds the same to medications. With genetic testing, providers can better determine the best treatment options for individuals, advancing precision...

Using SDOH Data to Enhance Artificial Intelligence, Outcomes

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As providers search for ways to improve their methods of care, social determinants of health (SDOH) have become an increasingly popular area of research. These social factors, which impact...

Blood Samples, Predictive Analytics Determine COVID-19 Outcomes

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A new study of blood samples from nearly 200 COVID-19 patients reveals underlying metabolic changes that regulate how immune cells respond to the infection. These changes are associated with disease...

Deep Learning Model for Mammograms Predicts Breast Cancer Risk

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Deep learning can distinguish between the mammograms of women who will later develop breast cancer and those who will not, according to new research out of the University of Hawaii. Researchers said...

Artificial Intelligence Tool Enhances Brain Stimulation Devices

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Mayo Clinic researchers alongside the Google Research Brain Team developed a new artificial intelligence algorithm to improve brain stimulation devices to treat movement disorders and epilepsy. For...

Artificial Intelligence Predicts Ventilator Need of COVID-19 Patients

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Case Western Reserve University researchers have developed an artificial intelligence tool that can predict if a COVID-19 patient will need help breathing with a ventilator. The tool was created by...

Precision Medicine Test Predicts Patient Response to Treatment

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A new study indicated that a precision medicine test using blood proteins can identify patients with idiopathic multicentric Castleman disease (iMCD) and are most likely to respond to treatment. The...

Using Predictive, Data Analytics to Expand Knowledge of Alzheimer’s

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Using predictive and data analytics, Brigham and Women’s Hospital researchers developed a resource to better understand the cognitive decline in individuals due to Alzheimer’s disease...

Machine Learning Tool Detects Genetic Syndromes in Children

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Children’s National Hospital researchers developed a machine learning tool that offers rapid genetic screening, potentially accelerating the diagnosis of genetic syndromes in children. The deep...

Key Use Cases for Health Risk Assessments

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Understanding an individual’s risk of disease is critical to providing the best quality of care. With health risk assessments (HRAs), also known as health risk appraisals, providers can collect...

Artificial Intelligence Technology Advances Heart Imaging

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New artificial intelligence technology for heart imaging could allow doctors to examine a patient’s heart for scar tissue while eliminating the need for contrast injections typically required in...