COVID-19

Machine learning tools predict COVID-19 vaccine hesitancy, uptake

March 27, 2024 - Researchers from the University of Cincinnati (UC) and Northwestern University have developed machine learning (ML) models that can accurately predict trends in COVID-19 vaccine uptake using reward and aversion judgments, according to a study published last week in the Journal of Medical Internet Research (JMIR) Public Health and Surveillance. The...

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Deep learning model detects COVID-19 infection using lung imaging

by Shania Kennedy

Johns Hopkins researchers have developed a deep learning-based model to detect COVID-19 infection using lung ultrasound images, according to a study published recently in Communications Medicine. The...

NLP Tool Flags Signs of Depression, Anxiety in Healthcare Workers

by Shania Kennedy

Researchers at New York University (NYU) Grossman School of Medicine have demonstrated that a natural language processing (NLP) tool can effectively detect pandemic-related signs of anxiety and...

Artificial Intelligence Model May Help Predict Future Viral Outbreaks

by Shania Kennedy

Researchers from Harvard Medical School (HMS) and the University of Oxford have developed an artificial intelligence (AI) tool capable of predicting how a virus could evolve to escape the immune...

Patient Triage Artificial Intelligence May Boost Future Outbreak Response

by Shania Kennedy

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...

NLP Model Enhances COVID-19 Treatment Through Message Classification

by Mark Melchionna

Emory University School of Medicine and Georgia Institute of Technology (Georgia Tech) researchers used natural language processing (NLP), a type of artificial intelligence (AI), to enhance COVID-19...

Generative AI May Accelerate Drug Discovery for COVID Antivirals

by Shania Kennedy

Researchers have developed a generative artificial intelligence (AI) model capable of designing novel molecules to block SARS-CoV-2, the virus that causes COVID-19, according to a study published in...

Can Docs Use Machine Learning to Determine COVID Treatment Course?

by Mark Melchionna

Using data from a Chinese hospital, researchers from the University of California, Riverside (UCR), found that a machine learning (ML) approach could assess patient age, weight, and other illnesses to...

WHO Launches Global Infectious Disease Surveillance Network

by Shania Kennedy

The World Health Organization (WHO) launched the International Pathogen Surveillance Network (IPSN), a public health network to prevent and detect infectious disease threats before they become...

ML Highlights Population Differences in Long COVID Risk, Symptoms

by Shania Kennedy

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...

Machine Learning Helps Identify Pneumonia as Driver of COVID-19 Deaths

by Shania Kennedy

Northwestern University researchers found that secondary bacterial pneumonia was a major driver of COVID-19 deaths in critically ill patients following a machine learning (ML)-based analysis of medical...

ML Model Uses Time, Location Data to Predict COVID-19 Transmission

by Shania Kennedy

Researchers from Carnegie Mellon University (CMU) have developed a machine learning (ML) tool designed to predict COVID-19 transmission using location and time data, according to a study published this...

NJ Population Health Data Initiative Approves Pilot Projects

by Shania Kennedy

The New Jersey Integrated Population Health Data (iPHD) project approved pilot funding and the release of data for multiple research proposals addressing the project’s four top health priorities:...

Johns Hopkins Machine-Learning Model Predicts COVID-19 Resistance

by Shania Kennedy

A research team from Johns Hopkins Medicine and Johns Hopkins University has developed a machine-learning (ML) tool capable of predicting who has the highest probability of being naturally resistant to...

AI Can Interpret At-Home COVID-19 Tests, Aid Viral Illness Diagnoses

by Shania Kennedy

George Mason University researchers have highlighted how artificial intelligence (AI) can help in the diagnosis of COVID-19 through a series of five papers published in the Journal of Quality...

Analytics-Based Strategies Show Potential for Infectious Disease Testing

by Mark Melchionna

Published in the American Association for Clinical Chemistry's The Journal of Applied Laboratory Medicine, recent research describes two analytics-based strategies that were effective in helping...

New Machine-Learning Model Identifies Long COVID Subtypes

by Shania Kennedy

Researchers from the University of California, Berkeley have developed machine-learning (ML) software that uses entries in EHRs to shed light on long COVID, including finding common symptoms and...

Machine-Learning Models Can Help Predict COVID-19 Test Results

by Shania Kennedy

In a study published this month in Smart Health, Florida Atlantic University (FAU) researchers used machine learning (ML)-based predictive analytics to evaluate the correlation between serology and...

Wastewater Monitoring Tool Tracks COVID-19 Trends, Public Health Threats

by Shania Kennedy

Researchers from Arizona State University and personnel from the city of Tempe, Arizona, have showcased the potential utility of a wastewater-based epidemiology (WBE) tool to provide health hazard...

Deep-Learning Assessment of Liver Fat Identifies Risk of Severe COVID-19

by Shania Kennedy

Researchers from Emory University and University Hospitals (UH) Cleveland have developed a deep learning (DL)-based liver fat assessment tool which shows that patients with nonalcoholic fatty liver...

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