Chronic Disease Management

Deep Learning Model Could Predict Outcomes for HCC Patients

by Erin McNemar, MPA

Cleveland Clinic researchers collaborated with Owkin to develop and validate a deep learning model to predict survival and outcomes for hepatocellular carcinoma (HCC) patients after liver...

Predictive Analytic Method Creates COVID-19 Health Disparities

by Erin McNemar, MPA

Yale University researchers suggest that a standard measurement that uses predictive analytics to determine which COVID-19 patients have the best chances of survival could promote health disparities...

Exploring Artificial Intelligence in Healthcare Around the Globe

by Erin McNemar, MPA

Artificial intelligence (AI) is making a dent in healthcare in the US and around the globe, helping leaders in Europe, South America, and Asia improve outcomes and cut costs, dissolving key pain points...

Predictive Analytics Flags Gynecologic Cancer Relapse in Patients

by Erin McNemar, MPA

Nagourney Cancer Institute researchers in collaboration with the Federal University of Sao Paulo, Brazil, University of California, Irvine, and Todd Cancer Institute discovered metabolic signatures in...

Identifying Early COPD Risk Factors in Hispanic, Latinx Populations

by Erin McNemar, MPA

Brigham and Women’s researchers conducted a study to identify important risk factors for early chronic obstructive pulmonary disease (COPD) among Hispanic and Latino populations in the United...

NIH Creates Study to Examine Long COVID-19, Population Health

by Erin McNemar, MPA

The National Institutes of Health (NIH) awarded nearly $470 million to create a large national study population to support research on the long-term effects of COVID-19 and gain insight into population...

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

by Erin McNemar, MPA

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...

Blood Enzyme Activity Predicts Chronic Disease Progression

by Erin McNemar, MPA

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

by Erin McNemar, MPA

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

by Erin McNemar, MPA

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

by Erin McNemar, MPA

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...

Using SDOH Data to Enhance Artificial Intelligence, Outcomes

by Erin McNemar, MPA

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...

Deep Learning Model for Mammograms Predicts Breast Cancer Risk

by Erin McNemar, MPA

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...

Key Use Cases for Health Risk Assessments

by Erin McNemar, MPA

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

by Erin McNemar, MPA

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...

Enhancing AI in Chronic Disease Management with Data Collection

by Erin McNemar, MPA

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...

Using Artificial Intelligence to Examine Biopsied Tissue Samples

by Erin McNemar, MPA

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...

Improving Cancer Treatment, Patient Outcomes with Genomic Testing

by Erin McNemar, MPA

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....

SDOH Play Role in Surge in Youth Diabetes Cases, Health Disparities

by Erin McNemar, MPA

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...

Determining Family Impact of Genome Sequencing on Newborns

by Erin McNemar, MPA

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,...