AIMC Topic: Vaccines

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Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study.

Journal of medical Internet research
BACKGROUND: Tools used to appraise the credibility of health information are time-consuming to apply and require context-specific expertise, limiting their use for quickly identifying and mitigating the spread of misinformation as it emerges.

Identification of Immune Signatures of Novel Adjuvant Formulations Using Machine Learning.

Scientific reports
Adjuvants have long been critical components of vaccines, but the exact mechanisms of their action and precisely how they alter or enhance vaccine-induced immune responses are often unclear. In this study, we used broad immunoprofiling of antibody, c...

Representing vaccine misinformation using ontologies.

Journal of biomedical semantics
BACKGROUND: In this paper, we discuss the design and development of a formal ontology to describe misinformation about vaccines. Vaccine misinformation is one of the drivers leading to vaccine hesitancy in patients. While there are various levels of ...

A fuzzy MICMAC analysis for improving supply chain performance of basic vaccines in developing countries.

Expert review of vaccines
INTRODUCTION: In recent years, demand to improve child immunization coverage globally, and the development of the latest vaccines and technology has made the vaccine market very complex. The rise in such complexities often gives birth to numerous iss...

Ab-initio conformational epitope structure prediction using genetic algorithm and SVM for vaccine design.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: T-cell epitope structure identification is a significant challenging immunoinformatic problem within epitope-based vaccine design. Epitopes or antigenic peptides are a set of amino acids that bind with the Major Histocompati...

The Ontology of Biological and Clinical Statistics (OBCS) for standardized and reproducible statistical analysis.

Journal of biomedical semantics
BACKGROUND: Statistics play a critical role in biological and clinical research. However, most reports of scientific results in the published literature make it difficult for the reader to reproduce the statistical analyses performed in achieving tho...

Vaccine and Drug Ontology Studies (VDOS 2014).

Journal of biomedical semantics
The "Vaccine and Drug Ontology Studies" (VDOS) international workshop series focuses on vaccine- and drug-related ontology modeling and applications. Drugs and vaccines have been critical to prevent and treat human and animal diseases. Work in both (...

Can Natural Language Processing Improve the Efficiency of Vaccine Adverse Event Report Review?

Methods of information in medicine
BACKGROUND: Individual case review of spontaneous adverse event (AE) reports remains a cornerstone of medical product safety surveillance for industry and regulators. Previously we developed the Vaccine Adverse Event Text Miner (VaeTM) to offer autom...

Mapping the landscape of AI and ML in vaccine innovation: A bibliometric study.

Human vaccines & immunotherapeutics
With the rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies, their applications in the medical field have expanded significantly. Particularly in vaccine innovation, AI and ML have shown considerable potential. T...

VaxPulse: Active Global Vaccine Infodemic Risk Assessment.

Studies in health technology and informatics
Vaccine infodemics, driven by misinformation, disinformation, and inauthentic online behaviours, pose significant threats to global public health. This paper presents our response to this challenge, demonstrating how we developed VaxPulse Vaccine Inf...