Clinical data management systems typically provide caregiver teams with useful information,
derived from large, sometimes highly heterogeneous, data sources that are often changing …

Abstract The European HIV Drug Resistance Guidelines Panel, established to make
recommendations to clinicians and virologists, felt that sufficient new information has …

Abstract Model-based analyses of natural selection often categorize sites into a relatively
small number of site classes. Forcing each site to belong to one of these classes places …

Currently, the development of medicines for complex diseases requires the development of
combination drug therapies. It is necessary because in many cases, one drug cannot target …

The ability to pay close attention to the present moment can be a crucial factor for performing
well in a competitive situation. Training mindfulness is one approach to potentially improve …

We present a mixture-of-experts approach for HIV therapy selection. The heterogeneity in
patient data makes it difficult for one particular model to succeed at providing suitable …

Background Drug-related toxicity has been one of the main causes of antiretroviral treatment
discontinuation. However, its determinants are not fully understood. Aim of this study was to …

Combination antiretroviral therapy for HIV-1 infection has resulted in profound reductions in
viremia and is associated with marked improvements in morbidity and mortality. Therapy is …

The most common applications of artificial intelligence (AI) in drug treatment have to do with
matching patients to their optimal drug or combination of drugs, predicting drug-target or …

Retroviral infections, such as HIV, are, until now, diseases with no cure. Medicine and
pharmaceutical chemistry need and consider it a huge goal to define target proteins of new …