Prediction models for vaccine immunogenicity are mathematical and computational tools used to forecast how well a vaccine will provoke an immune response. These models take into account various factors, such as the type of antigen, the delivery method, and the characteristics of the immune system, to predict the likelihood that a vaccine will generate a protective immune response. Such models are essential for optimizing vaccine development, as they can help identify promising candidates early in the process, reducing the time and cost of trials. By integrating data from clinical trials, immunological studies, and genomic research, prediction models allow researchers to fine-tune vaccine formulations for maximum efficacy. In addition to predicting immunogenicity, these models can also be used to assess potential side effects or adverse reactions, helping ensure the safety of vaccines before they are approved for widespread use. They represent a crucial step in accelerating vaccine development and improving vaccine outcomes.
Khursheed Anwer
IMUNON, United States
Regina Au
BioMarketing Insight, United States
Madhu Khanna
University of Delhi, India
Khursheed Anwer
IMUNON, United States
Ping Xie
Rutgers University, United States
Regina Au
BioMarketing Insight, United States
Madhu Khanna
University of Delhi, India
Lara Isis Teodoro
Mayo Clinic, United States
Ahmed Abdulazeez
BHRUT Trust, United KingdomSubmit your abstract Today
Title : A promising novel approach to DNA vaccines
Khursheed Anwer, IMUNON, 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 : The importance of post-marketing surveillance and real-world data: For a product to be successful
Regina Au, BioMarketing Insight, United States
Title : Development of a novel multi-component vaccine to address the burden of otitis media in high-risk populations
Ayesha Zahid, Griffith University, Australia
Title : New biomarkers in leishmania major vaccine development
Negar Seyed, Pasteur Institute of Iran, Iran (Islamic Republic of)
Title : Approaches towards developing and establishing a biomanufacturing research & development, and manufacturing industry in Zimbabwe: A review of the need, potential funding sources, policy development and implementation
Elliot Nyagumbo, Midlands State University, Zimbabwe
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 : Capillary electrophoresis for adjuvanted multivalent recombinant vaccine purity determination
Ashley Prout, Merck, United States
Title : Hypersensitivity and anti-SARS-COV-2 vaccination: A retrospective study of the year 2021 at the University Hospital Center of Tours (France)
Faure Quentin, The Savoie Metropolitan Hospital Center, France
Title : THE HPV vaccination program in Colombia. From a beautiful dream to a nightmare, but hopefully with a bright dawn.
Carlos Castro, Colombian League against cancer, Colombia