Flu & URI

Comparison of ARIMA and LSTM for prediction of hemorrhagic fever at different time scales in China.

OBJECTIVES: This study intends to build and compare two kinds of forecasting models at different tim...

Machine learning for emerging infectious disease field responses.

Emerging infectious diseases (EIDs), including the latest COVID-19 pandemic, have emerged and raised...

Novel Privacy Preserving Non-Invasive Sensing-Based Diagnoses of Pneumonia Disease Leveraging Deep Network Model.

This article presents non-invasive sensing-based diagnoses of pneumonia disease, exploiting a deep l...

Construction of Influenza Early Warning Model Based on Combinatorial Judgment Classifier: A Case Study of Seasonal Influenza in Hong Kong.

OBJECTIVE: The annual influenza epidemic is a heavy burden on the health care system, and has increa...

Rhabdomyolysis: An evidence-based approach.

A 76-year-old lady was found on the floor following a fall at home. She was uninjured, but unable to...

Comparison of antibody response to SARS-CoV-2 after two doses of inactivated virus and BNT162b2 mRNA vaccines in kidney transplant.

BACKGROUND: Antibody response against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) a...

Effects of nano-manganese on humoral immune response and oxidative stress in broilers.

The objective of the present study was to evaluate the alterations in selected indicators of immune ...

Twitter sentiment analysis from Iran about COVID 19 vaccine.

BACKGROUND AND AIMS: The development of vaccines against COVID-19 has been a global purpose since th...

LectinOracle: A Generalizable Deep Learning Model for Lectin-Glycan Binding Prediction.

Ranging from bacterial cell adhesion over viral cell entry to human innate immunity, glycan-binding ...

Prediction of lipid nanoparticles for mRNA vaccines by the machine learning algorithm.

Lipid nanoparticle (LNP) is commonly used to deliver mRNA vaccines. Currently, LNP optimization prim...

Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data.

The COVID-19 pandemic has had a devastating effect on many people, creating severe anxiety, fear, an...

COVID surveillance robot: Monitoring social distancing constraints in indoor scenarios.

Observing social/physical distancing norms between humans has become an indispensable precaution to ...

Comparative Study on the Efficacy of MF 59, ISA70 VG, and Nano-Aluminum Hydroxide Adjuvants, Alone and with Nano-Selenium on Humoral Immunity Induced by a Bivalent Newcastle+Avian Influenza Vaccine in Chickens.

Newcastle disease (ND) and Avian influenza (AI) are the major problems and the most economically imp...

Leveraging artificial intelligence to assist the ethical and science-based distribution of COVID-19 vaccines.

Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning.

BACKGROUND: There is a limited amount of data on the safety profile of the COVID-19 vector vaccine G...

Machine Learning-based Voice Assessment for the Detection of Positive and Recovered COVID-19 Patients.

Many virological tests have been implemented during the Coronavirus Disease 2019 (COVID-19) pandemic...

Machine Learning-Based Gynecologic Tumor Diagnosis and Its Postoperative Incisional Infection Influence Factor Analysis.

Various factors influencing postoperative incisional infection in gynecologic tumors were analyzed, ...

Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge.

BACKGROUND: Delays in patient flow and a shortage of hospital beds are commonplace in hospitals duri...

Perplexing issues for convalescent immune plasma therapy in COVID-19.

Convalescent immune plasma (CIP) therapy in coronavirus disease 2019 (COVID-19) is presently a trend...

Factors That Influence Risk Perceptions and Successful COVID-19 Vaccination Communication Campaigns With American Indians.

COVID-19 vaccinations are the primary tool to end the pandemic. However, vaccine hesitancy continues...

COVID-19 cough sound symptoms classification from scalogram image representation using deep learning models.

Deep Learning shows promising performance in diverse fields and has become an emerging technology in...