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...
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 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...
A new study led by the University of Oxford has found that previous infection, whether symptomatic or asymptomatic, does not necessarily protect you long-term from COVID-19, particularly against new Variants of Concern....
The trajectories of acquired immunity to severe acute respiratory syndrome coronavirus 2 infection are not fully understood. We present a detailed longitudinal cohort study of healthcare workers with asymptomatic or symptomatic infection. We use integrative analysis...
The Atomic Lab is officially opening at Boston University in the fall 2022. We’re looking for people to join the lab and are interested in PhD students, research assistants, postdocs, computer scientists, data scientists with background - or passion and enthusiasm to...