Evolving novel and effective treatment plans in the context of infection dynamics models: Illustrated with HIV and HAART therapy

Rebecca Haines; David Corne

Evolving novel and effective treatment plans in the context of infection dynamics models: Illustrated with HIV and HAART therapy

Rebecca Haines
, David Corne

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Several diseases involve complex interplay between an infection and the body's defences. Concerning AIDS, for example, this corresponds to developments in the immune system's responses and the HIV virus' counter-responses. Treatment for such diseases involves, at specific times, delivery of an agent that inhibits the infection. We hypothesise that: given a credible model of the combined dynamics of infection and response, the timing and quantities involved in treatment can be valuably investigated using that model. In particular, we investigate searching for optimised treatment plans with an evolutionary algorithm (EA). Our test case is a cellular automaton (CA) model of HTV dynamics, extended to incorporate HAART therapy (a favoured HTV treatment).An EA is wrapped around this model, and searches for treatments that maximally delay onset of AIDS, given certain constraints. We find that significant improvements over default HAART strategy are readily discovered in this way. © Springer-Verlag Berlin Heidelberg 2006.

Original language	English
Title of host publication	Parallel Problem Solving from Nature, PPSN IX - 9th International Conference, Procedings
Pages	413-422
Number of pages	10
Volume	4193 LNCS
Publication status	Published - 2006
Event	9th International Conference on Parallel Problem Solving from Nature - Reykjavik, Iceland Duration: 9 Sept 2006 → 13 Sept 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4193 LNCS
ISSN (Print)	0302-9743

Conference

Conference	9th International Conference on Parallel Problem Solving from Nature
Abbreviated title	PPSN IX
Country/Territory	Iceland
City	Reykjavik
Period	9/09/06 → 13/09/06

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Cite this

Haines, R., & Corne, D. (2006). Evolving novel and effective treatment plans in the context of infection dynamics models: Illustrated with HIV and HAART therapy. In Parallel Problem Solving from Nature, PPSN IX - 9th International Conference, Procedings (Vol. 4193 LNCS, pp. 413-422). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4193 LNCS).

Haines, Rebecca ; Corne, David. / Evolving novel and effective treatment plans in the context of infection dynamics models : Illustrated with HIV and HAART therapy. Parallel Problem Solving from Nature, PPSN IX - 9th International Conference, Procedings. Vol. 4193 LNCS 2006. pp. 413-422 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Several diseases involve complex interplay between an infection and the body's defences. Concerning AIDS, for example, this corresponds to developments in the immune system's responses and the HIV virus' counter-responses. Treatment for such diseases involves, at specific times, delivery of an agent that inhibits the infection. We hypothesise that: given a credible model of the combined dynamics of infection and response, the timing and quantities involved in treatment can be valuably investigated using that model. In particular, we investigate searching for optimised treatment plans with an evolutionary algorithm (EA). Our test case is a cellular automaton (CA) model of HTV dynamics, extended to incorporate HAART therapy (a favoured HTV treatment).An EA is wrapped around this model, and searches for treatments that maximally delay onset of AIDS, given certain constraints. We find that significant improvements over default HAART strategy are readily discovered in this way. {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.",

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Haines, R & Corne, D 2006, Evolving novel and effective treatment plans in the context of infection dynamics models: Illustrated with HIV and HAART therapy. in Parallel Problem Solving from Nature, PPSN IX - 9th International Conference, Procedings. vol. 4193 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4193 LNCS, pp. 413-422, 9th International Conference on Parallel Problem Solving from Nature, Reykjavik, Iceland, 9/09/06.

Evolving novel and effective treatment plans in the context of infection dynamics models: Illustrated with HIV and HAART therapy. / Haines, Rebecca; Corne, David.
Parallel Problem Solving from Nature, PPSN IX - 9th International Conference, Procedings. Vol. 4193 LNCS 2006. p. 413-422 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4193 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Several diseases involve complex interplay between an infection and the body's defences. Concerning AIDS, for example, this corresponds to developments in the immune system's responses and the HIV virus' counter-responses. Treatment for such diseases involves, at specific times, delivery of an agent that inhibits the infection. We hypothesise that: given a credible model of the combined dynamics of infection and response, the timing and quantities involved in treatment can be valuably investigated using that model. In particular, we investigate searching for optimised treatment plans with an evolutionary algorithm (EA). Our test case is a cellular automaton (CA) model of HTV dynamics, extended to incorporate HAART therapy (a favoured HTV treatment).An EA is wrapped around this model, and searches for treatments that maximally delay onset of AIDS, given certain constraints. We find that significant improvements over default HAART strategy are readily discovered in this way. © Springer-Verlag Berlin Heidelberg 2006.

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Haines R, Corne D. Evolving novel and effective treatment plans in the context of infection dynamics models: Illustrated with HIV and HAART therapy. In Parallel Problem Solving from Nature, PPSN IX - 9th International Conference, Procedings. Vol. 4193 LNCS. 2006. p. 413-422. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Evolving novel and effective treatment plans in the context of infection dynamics models: Illustrated with HIV and HAART therapy

Abstract

Publication series

Conference

UN SDGs

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