AIMC Topic: Vaccine Development
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Advances in vaccine adjuvant development and future perspectives.
Drug delivery
Jun 19, 2025
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
Jun 11, 2025
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...
Multi-criteria decision making and its application to in silico discovery of vaccine candidates for Toxoplasma gondii.
Vaccine
May 15, 2025
Vaccine discovery against eukaryotic parasites is not trivial and few exist. Reverse vaccinology is an in silico vaccine discovery approach, designed to identify vaccine candidates from the thousands of protein sequences encoded by a target genome. P...
OnmiMHC: a machine learning solution for UCEC tumor vaccine development through enhanced peptide-MHC binding prediction.
Frontiers in immunology
Feb 28, 2025
The key roles of Major Histocompatibility Complex (MHC) Class I and II molecules in the immune system are well established. This study aims to develop a novel machine learning framework for predicting antigen peptide presentation by MHC Class I and I...
SHASI-ML: a machine learning-based approach for immunogenicity prediction in vaccine development.
Frontiers in cellular and infection microbiology
Feb 11, 2025
INTRODUCTION: Accurate prediction of immunogenic proteins is crucial for vaccine development and understanding host-pathogen interactions in bacterial diseases, particularly for Salmonella infections which remain a significant global health challenge...
Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy.
Frontiers in cellular and infection microbiology
Jan 20, 2025
Messenger RNA (mRNA) vaccines offer an adaptable and scalable platform for cancer immunotherapy, requiring optimal design to elicit a robust and targeted immune response. Recent advancements in bioinformatics and artificial intelligence (AI) have sig...
The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development.
Molecular biomedicine
Jan 3, 2025
Integrating Artificial Intelligence (AI) across numerous disciplines has transformed the worldwide landscape of pandemic response. This review investigates the multidimensional role of AI in the pandemic, which arises as a global health crisis, and i...
A meta-analysis of AI and machine learning in project management: Optimizing vaccine development for emerging viral threats in biotechnology.
International journal of medical informatics
Dec 18, 2024
OBJECTIVES: Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative technologies across various industries, including healthcare, biotechnology, and vaccine development. These technologies offer immense potential to impr...
-targeted AI-driven vaccines: a paradigm shift in gastric cancer prevention.
Frontiers in immunology
Nov 28, 2024
, a globally prevalent pathogen Group I carcinogen, presents a formidable challenge in gastric cancer prevention due to its increasing antimicrobial resistance and strain diversity. This comprehensive review critically analyzes the limitations of con...
Personalized cancer vaccine design using AI-powered technologies.
Frontiers in immunology
Nov 8, 2024
Immunotherapy has ushered in a new era of cancer treatment, yet cancer remains a leading cause of global mortality. Among various therapeutic strategies, cancer vaccines have shown promise by activating the immune system to specifically target cancer...
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