We're thrilled to present our groundbreaking research at AAI2023 in Washington! Congrats to Adriana for receiving the Early Career Faculty Travel award. Join our talk on leveraging AI to predict immune responses to viral infections and vaccinations, Saturday, May 13th...
Systems Viral Immunology: Data driven approaches to decipher viral-host interplay
This Systems Viral Immunology Topic, led by Adriana Tomic in Frontiers in Virology, explores how systems-level approaches can help identify essential pathways in host immune responses to viral infections. By understanding these mechanisms, we can potentially develop...
Systems Immunology course is back!
We are excited to announce that we will be conducting another series of training sessions on AI and ML for integrative analysis at the University of Oxford. It's incredible how quickly the course was booked after advertising it! We can't wait to get started! You can...
Presentation at the Gladstone Institutes
Looking forward to discussing with virologists at the Gladstone Institutes how systems immunology tools can help in understanding immune responses to viruses. Thanks, Fran for the invitation!
Research on Tap: Artificial Intelligence for Biomedicine and Healthcare
Adriana will be sharing how AI is transforming human immunology research at the Boston University Research on Tap event. More info here.
Presentation at the BSI2022
Adriana will be presenting at the British Society for Immunology Congress 2022 in Liverpool, UK.
Keynote presentation at the Intelligent Oncology Symposium
Adriana will be presenting our research on the application of machine learning to advance biomedical research at the Intelligent Oncology Symposium, September 30th 2022 in Freiburg, Germany.
A blood atlas of COVID-19 defines hallmarks of disease severity and specificity
The COVID-19 Multi-omic Blood Atlas (COMBAT) has identified blood hallmarks of COVID-19 involving particular immune cell populations and their development, components of innate and adaptive immunity, and connectivity with the inflammatory response. A...
Interview with Standard Biotools (former Fluidigm)
Machine Learning and Infectious Disease In one of the 20 most-read papers of 2019, Stanford University and University of Oxford researchers developed an automated machine learning system, Sequential Iterative Modeling “OverNight” (SIMON), that compares...
Previous Covid infection may not offer long-term protection, study finds
"Previous infection with coronavirus does not necessarily protect against Covid in the longer term, especially when caused by new variants of concern, a study on healthcare workers suggests. Researchers at Oxford University found marked differences in the immune...