AIMC Topic: Vaccines

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Disinformation and trust in vaccines in the era of artificial intelligence: the necessity of implementing statistical recommendations.

Future microbiology Feb 27, 2024
Trust Disinformation Vaccines Artificial Intelligence
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Predicting COVID-19 pandemic waves including vaccination data with deep learning.

Frontiers in public health Dec 15, 2023
INTRODUCTION: During the recent COVID-19 pandemics, many models were developed to predict the number of new infections. After almost a year, models had also the challenge to include information about the waning effect of vaccines and by infection, an...
Deep Learning Vaccination Vaccines COVID-19 SARS-CoV-2 Humans Pandemics
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Optimizing Signal Management in a Vaccine Adverse Event Reporting System: A Proof-of-Concept with COVID-19 Vaccines Using Signs, Symptoms, and Natural Language Processing.

Drug safety Dec 7, 2023
INTRODUCTION: The Vaccine Adverse Event Reporting System (VAERS) has already been challenged by an extreme increase in the number of individual case safety reports (ICSRs) after the market introduction of coronavirus disease 2019 (COVID-19) vaccines....
Natural Language Processing Vaccines COVID-19 COVID-19 Vaccines Adverse Drug Reaction Reporting Systems Humans
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Transfer of maternal immunity using a polyvalent vaccine and offspring protection in Nile tilapia, .

F1000Research Nov 10, 2023
BACKGROUND: Vaccination is an effective and alternative means of disease prevention, however, it cannot be conducted on the offspring of fish. For this process to take place, the transfer of maternal immunity should be implemented. This study aims to...
Streptococcal Infections Cichlids Animals Streptococcus agalactiae Vaccines, Combined Male Vaccines
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Examining the Prevailing Negative Sentiments Surrounding Measles Vaccination: Unsupervised Deep Learning of Twitter Posts from 2017 to 2022.

Cyberpsychology, behavior and social networking Jun 26, 2023
Despite the proven safety and clinical efficacy of the Measles vaccine, many countries are seeing new heights of vaccine hesitancy or refusal, and are experiencing a resurgence of measles infections as a consequence. With the use of novel machine lea...
Vaccination Social Media COVID-19 Deep Learning Vaccines Attitude Humans
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A deep learning predictive model for public health concerns and hesitancy toward the COVID-19 vaccines.

Scientific reports Jun 6, 2023
Throughout the pandemic era, COVID-19 was one of the remarkable unexpected situations over the past few years, but with the decentralization and globalization of efforts and knowledge, a successful vaccine-based control strategy was efficiently desig...
Humans COVID-19 United States Vaccines Drug-Related Side Effects and Adverse Reactions COVID-19 Vaccines Vaccination Public Health Deep Learning
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Identification of missing hierarchical relations in the vaccine ontology using acquired term pairs.

Journal of biomedical semantics Aug 13, 2022
BACKGROUND: The Vaccine Ontology (VO) is a biomedical ontology that standardizes vaccine annotation. Errors in VO will affect a multitude of applications that it is being used in. Quality assurance of VO is imperative to ensure that it provides accur...
Vaccines Adenosine Triphosphate Biological Ontologies
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Vaxi-DL: A web-based deep learning server to identify potential vaccine candidates.

Computers in biology and medicine Mar 22, 2022
The development of a new vaccine is a challenging exercise involving several steps including computational studies, experimental work, and animal studies followed by clinical studies. To accelerate the process, in silico screening is frequently used ...
Software Vaccines Computational Biology Internet Animals Deep Learning
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Reliable stability prediction to manage research or marketed vaccines and pharmaceutical products. "Avoid any doubt for the end-user of vaccine compliance at time of administration".

International journal of pharmaceutics Feb 24, 2022
A major challenge for the pharmaceutical/vaccine industry is to anticipate and test/control product stability, regardless of the time/temperature profile of the product, from release to administration. Current empirical stability protocols performed ...
Vaccines Drug Stability Drug Industry Artificial Intelligence Pharmaceutical Preparations
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Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning.

Journal of medical Internet research Nov 29, 2021
BACKGROUND: There is a limited amount of data on the safety profile of the COVID-19 vector vaccine Gam-COVID-Vac (Sputnik V). Previous infodemiology studies showed that social media discourse could be analyzed to assess the most concerning adverse ev...
SARS-CoV-2 Aged COVID-19 Female COVID-19 Vaccines Humans Male Social Media Vaccines Deep Learning Russia
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