- This review highlights how mathematical tools can enhance our understanding of HIV dynamics, particularly in diagnosing immunological failures shortly after treatment begins.
- Results from a clinical trial indicate that models predicting immunological failure align with patient monitoring after six months of therapy.
- The review discusses two innovative methods for developing personalized anti-HIV treatments that optimize immune recovery and minimize side effects, making drug dosages more interpretable for clinicians and patients.
- The study proposes a new method to design HIV therapies that minimize side effects using a mathematical model that tracks the impact on healthy and infected T-cells as well as viral load.
- It develops a control system that optimizes drug dosages based on continuous monitoring of blood results, aiming to balance effective treatment and reduced collateral damage.
- The findings suggest that while initial and final doses can be higher, adjusting the dosing strategy over time creates a stable health outcome, though it may lead to higher viral loads than recommended at the end of the treatment.