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.
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Title : Personalized and Precision Medicine (PPM) via biodesign-driven translational applications and upgraded business modeling to secure the human biosafety: The next-step vaccinomics of the future
Sergey V Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
Title : The promise of nanotechnology in Personalized & Precision Medicine: Nano-driven precision vaccinomics of the future
Sergey V Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
Title : Recombinant BCG vaccine as a potent anti tuberculosis vaccine candidate
Sajal Dey, BRIC-Centre for DNA Fingerprinting and Diagnostics, India
Title : Emerging nanovaccine strategies for enhanced immune targeting and vaccine performance
Aysel Sadayli, V.Y. Axundov Scientific-Research Institute of Medical Prophylaxis, Azerbaijan
Title : Advancing vaccine availability and equity in low-resource settings: Evidence from Awendo Sub-County, Kenya
Millicent Ochieng, Clinton Health Access Initiative, Kenya
Title : Reaching zero-dose children through adaptive immunization strategies in security-compromised areas of Zamfara State, Nigeria
Attahir Abubakar, Ahmadu Bello University, Nigeria
Title : From local pilots to national policy: Key issues and challenges in implementing nationwide HPV vaccination in China
Shenglan Tang, Duke Global Health Institute, United States