Virus pandemics have happened, are happening and will happen again. In recent decades,
the rate of zoonotic viral spillover into humans has accelerated, mirroring the expansion of …

Highlights•Machine learning is increasingly used to predict and understand drug resistance
in HIV.•Phylogenetics helps to track the emergence and spread of HIV drug resistance …

Antimicrobial resistance (AMR) is a major global public health threat, which has been largely
driven by the excessive use of antimicrobials. Control measures are urgently needed to slow …

Clinical metagenomics is the diagnostic approach with the broadest capacity to detect both
known and novel pathogens. Clinical metagenomics is costly to run and requires …

The use of NGS technologies on HIV DR testing will allow unprecedented insights into
genomic structures of virus populations that may be of immediate relevance to both clinical …

Pathogen genome sequencing has become a routine part of our response to active
outbreaks of infectious disease and should be an important part of our preparations for …

Contemporary antiretroviral therapy (ART) regimens have high barriers to the development
of drug resistance. However, resistance to earlier antiretrovirals and uncommon cases of …

HIV/AIDS mortality has been decreasing over the last decade. While promising, this
decrease correlated directly with increased use of antiretroviral drugs. As a natural …

Modern antiretroviral therapy safely, potently, and durably suppresses human
immunodeficiency virus (HIV) that, if left untreated, predictably causes acquired …

Molecular surveillance of circulating measles variants serves as a line of evidence for the
absence of endemic circulation and provides a means to track chains of transmission …