HIV treatment: With or without explicit modeling of the immune system

The human immunodeficiency virus (HIV) infection, that causes acquired immune deficiency syndrome (AIDS), is a dynamic process that can be modeled via differential equations. By varying the drug effect in the model, we show how to drive any initial state into an equilibrium called the long-term nonprogressor, where the infected patient does not develop the symptoms of AIDS. In this paper we extend the scheduling method of gradual dose reduction, which has recently been justified for an HIV dynamic model, to a more complicated HIV model. We then investigate minimal recovery level of HIV patients by constant dosage, without any immune system modeling. The proposed result can be used for a number of biological models.