Computational immunology is an interdisciplinary field that leverages computational and mathematical approaches to analyze complex immune system dynamics, understand immunological processes, and predict immune responses. This field plays a crucial role in advancing our understanding of immune system function, host-pathogen interactions, and the development of immune-related disorders. Using computational models, bioinformatics, and data-driven techniques, computational immunologists analyze large-scale biological data, such as genomics, proteomics, and high-throughput sequencing data. These approaches help identify patterns, pathways, and potential biomarkers associated with immune responses and diseases. Computational immunology contributes to vaccine design, drug development, and personalized medicine by simulating immune responses, predicting antigen-antibody interactions, and optimizing treatment strategies. Machine learning and artificial intelligence techniques are increasingly employed to analyze complex immunological datasets and make predictions. This field also facilitates the integration of diverse data sources, aiding in the discovery of novel immunological insights. Computational models help simulate immune responses in various scenarios, contributing to our ability to understand and predict the outcomes of different immunotherapies. As computational immunology continues to evolve, it serves as a powerful tool for unraveling the intricacies of the immune system, accelerating discoveries in immunological research, and informing the development of innovative strategies for diagnosing and treating immune-related disorders.
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