A significant proportion of individuals living with HIV experience clinically relevant symptomatic CNS complications, which impact their quality of life and functional capacity. This highlights the urgent need for identifying modifiable therapeutic targets.
Despite extensive research efforts, existing clinical trials have focused on reducing inflammation and intensifying antiretroviral therapy (ART) but haven't achieved the anticipated improvements in CNS outcomes.
Identifying modifiable targets and mechanisms is essential for designing novel treatment strategies to improve quality of life, reduce symptom severity, and maximize functional capacity in affected individuals.
By leveraging clinical data-based decision trees, it's feasible to identify patient groups with modifiable targets that can be engaged through proven targeted interventions, ensuring a more personalized treatment strategy.
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