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AI and Machine Learning in Vaccine Research

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.

Committee Members
Speaker at International Vaccines Congress 2025 - Khursheed Anwer

Khursheed Anwer

IMUNON, United States
Speaker at International Vaccines Congress 2025 - Regina Au

Regina Au

BioMarketing Insight, United States
Speaker at International Vaccines Congress 2025 - Madhu Khanna

Madhu Khanna

University of Delhi, India
IVC 2025 Speakers
Speaker at International Vaccines Congress 2025 - Khursheed Anwer

Khursheed Anwer

IMUNON, United States
Speaker at International Vaccines Congress 2025 - Regina Au

Regina Au

BioMarketing Insight, United States
Speaker at International Vaccines Congress 2025 - Madhu Khanna

Madhu Khanna

University of Delhi, India
Speaker at International Vaccines Congress 2025 - Lara Isis Teodoro

Lara Isis Teodoro

Mayo Clinic, United States
Speaker at International Vaccines Congress 2025 - Ahmed Abdulazeez

Ahmed Abdulazeez

BHRUT Trust, United Kingdom
Speaker at International Vaccines Congress 2025 - Elena Chiappini

Elena Chiappini

University of Florence, Italy
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