R. Arnaout

This study compares antibody and TCR repertoires in SARS-CoV-2 infectees, vaccinees, and controls to predict neutralizing antibody titers and identifies subtle differences in adaptive immune responses.

The paper introduces a framework to assess immune repertoires based on epitope-binding properties of antibodies and TCRs, showing its application in distinguishing immune responses and stratifying cohorts.

The paper introduces ct2vl, a Python package that converts RT-qPCR Ct values to viral loads for SARS-CoV-2 tests, enabling quantitative analysis of test results.

The paper demonstrates overwhelming functional overlap between antibody repertoires from 20 individuals, showing shared antigen-binding capacities that decline with age.

This study evaluates how the limit of detection (LoD) of SARS-CoV-2 assays affects false negative rates using 27,500 test results, finding a 13% increase in false negatives per 10-fold LoD increase.

This paper introduces a descriptor-based MaxEnt model for classifying immune repertoires, achieving high accuracy in influenza vaccination status classification with limited samples.