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.
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 : Homology analysis of MPXV and VACV peptides underscores the need to consider both MPXV clades for vaccine development
Lara Isis Teodoro, Mayo Clinic, 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 : High seroprevalence of RSV antibodies in adults indicates potential undetected transmission and requires further public health assessment
Lara Isis Teodoro, Mayo Clinic, 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 : New biomarkers in leishmania major vaccine development
Negar Seyed, Pasteur Institute of Iran, Iran (Islamic Republic of)
Title : Tubercular disease in children: Optimizing treatment strategies through disease insights
Elena Chiappini, University of Florence, Italy
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 : Racial disparities in pediatric pneumonia in Brazil: The role of structural racism forging inequalities in acess to vaccines
Livia Daflon Silva, Federal University of State of Rio de Janeiro, Brazil
Title : Capillary electrophoresis for adjuvanted multivalent recombinant vaccine purity determination
Ashley Prout, Merck, United States