CEIRR CMC Research Seminar: Adriana Tomic on Systems Viral Immunology

The CEIRR CMC holds bi-monthly research seminars that feature leading researchers who utilize state-of-the-art computational methods to better understand respiratory viruses. These events are designed to facilitate in-depth discussions and provide ample opportunity for questions from the audience, with each seminar lasting 1 hour and 30 minutes.

After you register, click on the Eventbrite event page for a zoom link .

Dr Adriana Tomic is an Assistant Professor at Boston University.

https://atomic-lab.org/

SIMON, a powerful AI software accelerating the discovery of human immune memory responses

Abstract: Recent technological developments have led to the generation of large amounts of data at various scales, particularly in the field of biomedical sciences. This data is crucial in advancing our understanding of health and disease mechanisms, as well as predicting clinical outcomes. However, the lack of powerful analytical tools has slowed the translation of this knowledge. To this end, we have developed SIMON, a knowledge discovery software that utilizes over 180 state-of-the-art machine learning algorithms to facilitate pattern recognition and knowledge extraction from multi-omics biological and clinical data. With an easy-to-use graphical user interface, standardized pipelines, automated approach for machine learning, and other statistical analysis methods, SIMON helps to identify optimal algorithms and provides a resource that empowers non-technical and technical researchers to identify crucial patterns in biomedical data. We have demonstrated the accuracy, ease of use, and power of our software on biomedical datasets containing transcriptome, microbiome, cytometry, and multi-omics data, and successfully used it to identify signatures of protection that track with favorable patient outcomes after SARS-CoV-2 infection and vaccine responses to influenza. This knowledge can be used to develop more effective vaccines and help researchers better understand the long-term impact of SARS-CoV-2 or influenza viruses on the immune system. By predicting the immune memory responses, SIMON has the potential to accelerate the development of vaccines that provide long-term protection against these pandemic viruses. Overall, SIMON is a powerful software platform for data mining that facilitates pattern recognition and knowledge extraction from high-dimensional biomedical data. It has the potential to greatly accelerate discovery in human immunology and biomedicine.

Note: CEIRR CMC events are open only to CEIRR participants. The meeting and discussion are confidential.