???????????? ???????????????????????????????????????????????????? ???????????????????????????????? ???????? ???????????????????????????????????????????????????? ???????????????????????????? ???????????? ???????????? ???????????????????????? ???????????????????????? ???????????????????????????????? (???????????????????? ????????????????)
???????????? ???????????????????????????????????????????????????? ???????????????????????????????? ???????? ???????????????????????????????????????????????????? ???????????????????????????? ???????????? ???????????? ???????????????????????? ???????????????????????? ???????????????????????????????? (???????????????????? ????????????????)
Excitement abounds as we proudly unveil ???????????????????? ????????????????, now in its sixth consecutive year, in collaboration with the #???????????????? International Conference on #Bioinformatics and #Biomedicine.
???? This edition of the workshop is centered around the theme of #computationalimmunology, offering a diverse perspective on the subject from our esteemed speakers.
???? One of the highlights was Elena Crispino’s presentation on “Cutaneous Leishmaniasis: discovering new effective therapies using the Universal Immune System Simulator.”
???? Additionally, Avisa Maleki shared insights on “Genetic algorithm application for the prediction of potential SARS-CoV-2 new variants of concern.”
???? Join us for this invaluable opportunity to delve into the world of computational immunology, exchange ideas, and broaden your perspective. A heartfelt thank you to all the researchers and participants for their invaluable contributions! ???? #CMISF2022 #ResearchInnovation
5???????? ???????????????????????????????????????????????????? ???????????????????????????????? ???????? ???????????????????????????????????????????????????? ???????????????????????????? ???????????? ???????????? ???????????????????????? ???????????????????????? ???????????????????????????????? (???????????????????? ????????????1)
he constant and rapid increasing of computing power has favored the diffusion of computational methods into immunology, giving the birth to computational immunology. Computational immunology, known also as immunological bioinformatics or immunoinformatics, is a modern research area that embraces data-driven computational and mathematical approaches able to model and describe the dynamics of cellular and molecular entities of the immune system, its disorders, and infections. Nowadays, immunoinformatics is dedicated to methods and tool developments for the analyses of omic-type data in immunology and knowledge inference using simulation, statistical inference, and machine learning algorithms. These fields are complementary key drivers of data-driven basic and translational immunology research for the benefit of human and animal health.
Furthermore, the simulation of the immune system for the design testing of new medical interventions in virtual patients through the set-up of in Silico Trials (IST) is a hot topic that will have a key role in the years to come. The Workshop will focus on the application of computer methods and computational models, at any level of description (e.g., microscopic/intracellular, mesoscopic/intercellular, macroscopic/tissue or organs), for the modeling of the immune system function, along with their application in understanding the pathogenesis of specific diseases (e.g., infectious diseases, cancers, hypersensitivities, autoimmune disorders). Topics of interest include, but are not limited to:
Modeling techniques, tools and approaches (e.g., agent based modeling, equation based modeling, network studies);
Computational models for cancer immunotherapy, autoimmune diseases, allergies and infectious diseases;
Spatially-extended models (e.g., models of lymph channels and/or lymph nodes);
Methods for in silico testing and optimization of therapeutic/vaccination schedules;
Multi-scale models and methods for encompassing two or more spatial and/or temporal scales (e.g., from cell functions to organs);
Novel methods and approaches for in Silico Trials;
Epidemiological models.
4???????? ???????????????????????????????????????????????????? ???????????????????????????????? ???????? ???????????????????????????????????????????????????? ???????????????????????????? ???????????? ???????????? ???????????????????????? ???????????????????????? ???????????????????????????????? (???????????????????? ????????????0)
The constant and rapid increasing of computing power has favored the diffusion of computational methods into immunology, giving the birth to computational immunology. Computational immunology, known also as immunological bioinformatics or immunoinformatics, is a modern research area that embraces data-driven computational and mathematical approaches able to model and describe the dynamics of cellular and molecular entities of the immune system, its disorders, and infections. Nowadays, immunoinformatics is dedicated to methods and tool developments for the analyses of omic-type data in immunology and knowledge inference using simulation, statistical inference, and machine learning algorithms. These fields are complementary key drivers of data-driven basic and translational immunology research for the benefit of human and animal health.
Furthermore, the simulation of the immune system for the design testing of new medical interventions in virtual patients through the set-up of in Silico Trials (IST) is a hot topic that will have a key role in the years to come.
The Workshop will focus on the application of computer methods and computational models, at any level of description (e.g., microscopic/intracellular, mesoscopic/intercellular, macroscopic/tissue or organs), for the modeling of the immune system function, along with their application in understanding the pathogenesis of specific diseases (e.g., infectious diseases, cancers, hypersensitivities, autoimmune disorders).