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dc.creatorVelez Vega, Camilo
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to, referencing the URI of the item.en
dc.descriptionIncludes bibliographical references (leaves 110-117).en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractThe development of potent antiretroviral drugs has substantially improved life expectancy and quality of life for HIV infected patients. However, current HIV drugs do not induce complete viral eradication, requiring long periods of treatment. Continuous administration of antiretroviral drugs has led to serious drug toxicity and side effects resulting in forced therapy cease and consequent viral rebound. As a result, clinicians encounter an optimization problem: how to best control viral replication while maintaining low antiretroviral drug toxicity levels. In this thesis, the HIV drug dosage problem is solved based on a continuous time model predictive approach for nonlinear systems with previous engineering applications. HIV infection is modeled by two distinct mathematical models, while serious side effects are represented by a simple mechanism for drug toxicity that is based on a gradual liver dysfunction due to drug therapy.en
dc.publisherTexas A&M University
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subjectchemical engineering.en
dc.subjectMajor chemical engineering.en
dc.titleOptimization of antiretroviral therapy for HIV infected patients by simultaneous analysis of immune restoration and serious side effectsen
dc.typeThesisen engineeringen
dc.format.digitalOriginreformatted digitalen

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