AIMC Topic: Vaccines

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From sequence to scaffold: Computational design of protein nanoparticle vaccines from AlphaFold2-predicted building blocks.

Proceedings of the National Academy of Sciences of the United States of America
Self-assembling protein nanoparticles are being increasingly utilized in the design of next-generation vaccines due to their ability to induce antibody responses of superior magnitude, breadth, and durability. Computational protein design offers a ro...

Legal questions of AI-generated immunological products for infectious diseases.

Human vaccines & immunotherapeutics
Artificial intelligence (AI) has potential to surpass human capabilities to reshape vaccine design. However, its integration raises legal, ethical, and intellectual property challenges. Transparency in AI-driven immunological products is crucial for ...

Evaluating Large Language Models for Sentiment Analysis and Hesitancy Analysis on Vaccine Posts From Social Media: Qualitative Study.

JMIR formative research
BACKGROUND: In the digital age, social media has become a crucial platform for public discourse on diverse health-related topics, including vaccines. Efficient sentiment analysis and hesitancy detection are essential for understanding public opinions...

Gut microbiota as a regulator of vaccine efficacy: implications for personalized vaccination.

Gut microbes
Vaccines are one of the most significant achievements in global health, as they have substantially reduced morbidity and mortality from infectious diseases. However, the vaccine efficacy varies markedly across different populations, particularly amon...

Mapping Vaccine Sentiment by Analyzing Spanish-Language Social Media Posts and Survey-Based Public Opinion: Dual Methods Study.

JMIR infodemiology
BACKGROUND: The internet and social media have been considered useful platforms for obtaining health information. However, critical and erroneous content about vaccines on social media has been associated with vaccination delays and refusal.

Exploring vaccine safety and adverse events in major autoimmune diseases.

Autoimmunity reviews
This study evaluates post-vaccination adverse events by analyzing a large dataset of patients with major autoimmune diseases, including Hashimoto's n=26,330; Rheumatoid Arthritis n=9,251; psoriasis n=5,589; Systemic Lupus Erythematosus n=4,208; Infla...

Accelerating vaccine development: Plug-and-play platforms for emerging infectious diseases.

Virus research
Emerging pathogens underscore an urgent need for rapidly developed vaccines to minimize mortality and societal disruption. Traditional vaccine development requires time spans of years, making it ill-suited to fast evolving viruses that can overwhelm ...

Advances in vaccine adjuvant development and future perspectives.

Drug delivery
Use of highly purified antigens to improve vaccine safety has led to reduced immunogenicity and efficacy, resulting in the need for adjuvants to increase and/or modulate the immunogenicity of the vaccine. Despite the need for potent and safe vaccine ...

Bayesian optimization and machine learning for vaccine formulation development.

PloS one
Developing vaccines with a better stability is an area of improvement to meet the global health needs of preventing infectious diseases. With the advancement of data science and artificial intelligence, innovative approaches have emerged. This manusc...

Vaccinology in the artificial intelligence era.

Science translational medicine
Artificial intelligence (AI) has already transformed vaccine antigen design and could transform the entire vaccinology pipeline, including immune responses and emerging infectious disease prediction, manufacturing and regulatory processes, clinical t...