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Whole-animal Imaging and Flow Cytometric Techniques for Analysis of Antigen-specific CD8+ T Cell Responses after Nanoparticle Vaccination
Published on: April 29, 2015
Applications of artificial intelligence and nanotechnology in vaccine development
Yadollah Bahrami1, Mansoor Bolideei2, Sara Mohammadzadeh3
1Medical Biology Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran; Department of Medical Biotechnology, Faculty of Medicine, Kermanshah University of Medical Sciences, Kermanshah 6714415185, Iran; Department of Medical Biotechnology, School of Medicine, College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia; Advanced Marine Biomanufacturing Laboratory, Centre for Marine Bioproducts Development, College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia.
None:
Vaccines have long been crucial in safeguarding public health by preventing and controlling infectious diseases. However, traditional vaccine development methods face challenges in efficiency, cost, and response time to emerging pathogens. Recent progress in art AI and nanotechnology is revolutionizing this landscape, offering innovative solutions for vaccine design, delivery, and optimization. This manuscript examines the transformative impact of AI and nanotechnology on advancing vaccine development, highlighting their synergistic effect in overcoming traditional limitations. AI, particularly machine learning (ML) and deep learning (DL) algorithms, facilitates rapid identification of immunogenic antigens and epitopes by analyzing vast genomic, proteomic, and immunological datasets. These computational tools optimize vaccine design by predicting antigen stability, immunogenicity, and efficacy, as exemplified by the expedited development of COVID-19 vaccines. Nanotechnology complements these advancements by providing engineered nanoparticles (NPs), including liposomes, polymeric NPs, and biomimetic systems, that enhance antigen delivery, stability, and immune activation. Innovations such as virus-like particles (VLPs) and immune-stimulating complexes (ISCOMs) further enhance vaccine safety and efficacy by mimicking natural infection processes to trigger robust, targeted immune responses. Integrating AI and nanotechnology presents remarkable opportunities for developing personalized immunization strategies. AI algorithms can assess individual immune profiles to design customized vaccines, while nanotechnology enables precise delivery and controlled release of antigens. This interdisciplinary approach accelerates vaccine development, ensuring both safety and efficacy, and lays the foundation for universal vaccines and cancer vaccines that target complex pathogens and non-infectious diseases. Together, AI and nanotechnology herald a new era in vaccinology, enabling the development of vaccines that are faster, more precise, and highly adaptable to emerging and complex health challenges.
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