지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2005.11
- 수록면
- 175 - 178 (4page)
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초록· 키워드
오류제보하기
We present and use techniques and ideas from control theory to design and synthesize nonlinear feedback control-based treatment regimes for HIV. We demonstrate through numerical simulations that by using a "target tracking" approach, suboptimal feedback-based treatment strategies can be designed to move the state of the system from an "unhealthy" state (high virus load and low immune response) to a "healthy" one (with low viral load and high immune effector levels). An important advantage of this drug regimen design is that once the viral load is controlled to very low levels, the drug dosage can be reduced or completely terminated. Consequently, long term pharmaceutical side effects could also be reduced. Thus, this approach suggests that by anticipating and responding to the disease progression, dynamic feedback strategies such as those designed in this work could lead to long-term control of HIV after discontinuation of therapy.
목차
ABSTRACT
INTRODUCTION
HIV MODEL AND CONTROL
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2009-410-014677768