The integration of AI and machine learning in vaccine research is transforming how scientists identify antigens, predict immune responses, and streamline clinical development. Algorithms analyze vast datasets from genomics, proteomics, and epidemiology to reveal hidden patterns and optimal vaccine targets. Machine learning models support epitope prediction, patient stratification, and adverse event monitoring, greatly improving efficiency and safety. These technologies also enhance predictive modeling of pathogen evolution, enabling proactive design against emerging threats. Automation of trial data analysis and digital twin simulations are shortening development timelines. As computational power grows, AI and machine learning in vaccine research are becoming indispensable tools, fostering faster, smarter, and more personalized vaccine innovation.
Khursheed Nadeem Anwer
IMUNON, United States
Ping Xie
Rutgers University, United States
Regina Au
BioMarketing Insight, United States
Madhu Khanna
University of Delhi, India
Ahmed Abdulazeez
BHRUT Trust, United KingdomSubmit your abstract Today
Title : A promising novel approach to DNA vaccines
Khursheed Nadeem Anwer, IMUNON, United States
Title : Nanoscopic SubATVax™ adjuvanted vaccines against influenza A types H3N2, H1N1 and influenza type B for subcutaneous administration
David Craig Wright, D4 Labs, LLC, United States
Title : The importance of post-marketing surveillance and real-world data for a product to be successful
Regina Au, BioMarketing Insight, United States
Title : Prophylactic and molecular approaches for mitigating human influenza A viruses: i. Evaluating influenza vaccine effectiveness in the older population ii. Down-regulation of influenza virus genes with novel sirna-chimeric-ribozyme constructs
Madhu Khanna, University of Delhi, India
Title : Commensal bacteria drive B-cell lymphomagenesis in the setting of innate immunodeficiency
Ping Xie, Rutgers University, United States
Title : The role of immunity in the pathogenesis of SARS-COV-2 and in the protection generated by COVID-19 in different age groups
Ahmed Abdulazeez, BHRUT Trust, United Kingdom
Title : Establishing a platform method for physical appearance assessment of new parenteral pharmaceuticals
Ying Wan, Merck & Co., United States
Title : Evaluating the immunogenic impact of process impurities in mRNA vaccine production: Establishing integrated control strategies and specifications
Jesse Kuiper, Merck Research Laboratories, United States
Title : New biomarkers in leishmania major vaccine development
Negar Seyed, Pasteur Institute of Iran, Iran (Islamic Republic of)
Title : Advances in vaccines: Revolutionizing disease prevention
Delia Teresa Sponza, Dokuz Eylul University, Turkey