Jane Marie Heffernan

The TEAIV model: Extending the standard TEIV model to account for viral budding ramp up

The paper extends the TEIV model to account for non-instantaneous viral budding, showing improved fit to SARS-CoV-2 viral load data using linear ramp-up dynamics.

Using virtual patient cohorts to uncover immune response differences in cancer and immunosuppressed COVID-19 patients

This study uses virtual patient cohorts to model immune response differences in cancer and immunosuppressed COVID-19 patients, identifying key immune dysregulation factors.

Machine Learning Reveals Distinct Immunogenic Signatures of Th1 Imprinting in ART-Treated Individuals with HIV Following Repeated SARS-CoV-2 Vaccination

This study uses machine learning to identify immunogenic signatures of Th1 imprinting in HIV-positive individuals on ART after repeated SARS-CoV-2 vaccination, highlighting saliva-based antibody screening as a potential diagnostic feature.

Within-host evolution of SARS-CoV-2: how often are mutations transmitted?

The paper models how SARS-CoV-2 mutations are transmitted within-host, finding that mutations affecting innate immune evasion have higher transmission probabilities than those affecting humoral evasion.