2004
DOI: 10.1097/01.ccm.0000142394.28791.c3
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In silico design of clinical trials: A method coming of age

Abstract: A mathematical simulation of anti-TNF therapy identified clear windows of opportunity for this intervention as well as populations that can be harmed by anti-TNF therapy. The construction of an in silico clinical trial could provide profound insight into the design of clinical trials of immunomodulatory therapies, ranging from optimal patient selection to individualized dosage and duration of proposed therapeutic interventions.

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Cited by 172 publications
(173 citation statements)
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“…The model fits the overall trend in data, but not quantitatively precise. The model is extended in Clermont et al (2004) to include living bacteria. A conundrum in the paper was the need of a very slow antiinflammatory mediator which the authors suggest to be cortisol Chow et al (2005).…”
Section: Modeling Backgroundmentioning
confidence: 99%
“…The model fits the overall trend in data, but not quantitatively precise. The model is extended in Clermont et al (2004) to include living bacteria. A conundrum in the paper was the need of a very slow antiinflammatory mediator which the authors suggest to be cortisol Chow et al (2005).…”
Section: Modeling Backgroundmentioning
confidence: 99%
“…In silico trials are being explored to provide a virtual arena through which clinical trials of novel anti-cancer therapies can be tested (43). In such trials, a virtual patient would be given a virtual treatment and the outcomes of treatment can be measured (44). Although the intention is not to completely replace actual clinical trials involving real patients, in silico trials have the potential to reduce the number of patients required to perform a clinical trial as well as limiting the exposure of patients to adverse effects of trial medications (45).…”
Section: Future Directionsmentioning
confidence: 99%
“…In silico (simulated) clinical trials are an inexpensive and increasingly popular means of gleaning translational knowledge from computational models [55][56][57][58][59]. Accordingly, these methods were utilized to test both current and hypothetical or cutting-edge therapies for inflammation in the setting of post-SCI PU.…”
Section: In Silico Clinical Trials For Post-sci Pressure Ulcersmentioning
confidence: 99%