Population Health News

NIH funding development of AI tools for health disparity research

April 1, 2024 - George Washington University (GW) School of Medicine and Health Sciences (SMHS) and the University of Maryland Eastern Shore (UMES) have been awarded a two-year, $839,000 National Institutes of Health (NIH) grant to advance the development of artificial intelligence (AI) tools to improve health equity. The project, known as “Trustworthy AI to...

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AI reveals race-based differences in the expression of depression

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Researchers from the University of Pennsylvania, Philadelphia, and the National Institute on Drug Abuse (NIDA) have demonstrated that artificial intelligence (AI) models designed to predict depression...

Analysis highlights five preventable suicide risk profiles

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Researchers from Weill Cornell Medicine, Columbia University, UC Berkeley School of Public Health, the University of Hong Kong and University of Kentucky have identified five preventable suicide risk...

Online big data dashboard to help map enteric infectious diseases

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A team from the University of Virginia (UVA) is developing an online big data dashboard to map enteric infectious disease burden in low- and middle-income countries, which researchers and public health...

How do population health, public health, community health differ?

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The rapid proliferation of value-based care arrangements, driven by electronic health record (EHR) adoption and the subsequent explosion of big data, has given providers the opportunity and the...

Patient-Reported Symptom Data May Hinder Telehealth-Based Flu Diagnosis

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Researchers from the University of Georgia’s College of Public Health (UGA Public Health) demonstrated that clinical decision rules (CDRs) for influenza may be less accurate in a telemedicine...

NYC Health Dept. Launches Center for Population Health Data Science

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The New York City Department of Health and Mental Hygiene (DOHMH) established the Center for Population Health Data Science this week in an effort to improve the city’s public health data...

Cedars-Sinai Deep Learning Tool Accurately Predicts Atrial Fibrillation

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Researchers from the Smidt Heart Institute at Cedars-Sinai demonstrated that a deep learning (DL) algorithm can accurately detect signs of atrial fibrillation in patients without symptoms, according to...

Patient Triage Artificial Intelligence May Boost Future Outbreak Response

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Researchers from Yale School of Public Health (YSPH) have developed an artificial intelligence (AI)-driven patient triage platform capable of forecasting length of hospitalization and disease severity...

Research Identifies Link Between Genetic Makeup and Disease Risk

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Using data from the UCLA ATLAS Precision Health Biobank, UCLA Health researchers found differences in diagnoses, hospital use, and genetic disease across various populations, which provided them with a...

Models Classify Osteoarthritis Subgroups Based on Pain, Disease Severity

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In a recent study published in BMC Medical Research Methodology, researchers developed multiple algorithms capable of identifying important osteoarthritis (OA) patient subgroups, such as those...

Phone Data in Public Health Efforts May Magnify Health Inequities

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Researchers at the Pennsylvania State University (Penn State) have revealed that mobile phone data increasingly used in public health efforts may underrepresent vulnerable populations and magnify...

Risk Prediction Model Accurately Identifies Women Vulnerable to HIV

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Researchers from the University of Chicago and Rush University Medical Center have developed a predictive model designed to identify women vulnerable to human immunodeficiency virus (HIV) using EMRs...

Omitting Race, Ethnicity from Risk Models May Lead to Health Disparities

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Researchers have shown that omitting race and ethnicity as predictors in colorectal cancer recurrence risk prediction models may be associated with racial and ethnic biases that contribute to health...

Federal Grant to Bolster Neonatal Research Consortium

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The University of New Mexico (UNM) Health Sciences won a renewal of a federal grant to participate in the Neonatal Research Network, a data-sharing consortium focused on improving care for high-risk...

CT Scans Outperform Polygenic Risk Prediction Methods for Heart Disease

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Computed tomography (CT) scans for coronary artery calcium significantly improved risk predictions for heart disease in middle-aged patients compared to polygenic risk scores, according to a study...

Potential Racial Bias Found in Type 2 Diabetes Risk Prediction Models

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Artificial intelligence (AI) algorithms used to screen for and predict type 2 diabetes may be racially biased, which could perpetuate health disparities, according to a study published last week in...

ML Highlights Population Differences in Long COVID Risk, Symptoms

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Researchers from Weill Cornell Medicine using machine learning (ML)-based analysis of electronic health record (EHR) data found that long COVID risk and symptoms present differently across diverse...

New Research to Measure the Impact of Overdose Prevention Centers

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New York University (NYU) Langone Health and Brown University’s School of Public Health have been awarded over $5 million from the National Institute on Drug Abuse (NIDA), part of the...

Missing Data May Contribute to Health Disparities in Children with Lupus

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Researchers have found that missing data on socioeconomic, demographic, and clinical factors may negatively impact health equity for pediatric patients with childhood-onset systemic lupus erythematosus...

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