2019
DOI: 10.1007/978-3-030-31635-8_233
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TESSEE – Tool for Early Stem Cells Economic Evaluation

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(7 citation statements)
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“…A large number of simulation runs are then performed by randomly sampling values from the established probability distributions, with the samples of each run being used to determine their respective outputs. This results in the generation of output probability distributions, allowing not only to identify the range of possible outcomes but also to analyze the variability of each output and the probability of exceeding a certain critical threshold [ 17 , 31 , 32 ].…”
Section: Characterization Of Bioprocess Modelsmentioning
confidence: 99%
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“…A large number of simulation runs are then performed by randomly sampling values from the established probability distributions, with the samples of each run being used to determine their respective outputs. This results in the generation of output probability distributions, allowing not only to identify the range of possible outcomes but also to analyze the variability of each output and the probability of exceeding a certain critical threshold [ 17 , 31 , 32 ].…”
Section: Characterization Of Bioprocess Modelsmentioning
confidence: 99%
“…Aside from depending directly on the manufacturing structure of the bioprocess itself, the value of the FCI can be influenced by several factors, such as the ratio between open and closed cleanroom areas, the choice between automated versus manual processing and the use of disposable or nondisposable process platforms [ 33 ]. To determine the total initial investment involved in the establishment of a manufacturing facility for stem cell processing, two models can be implemented: a cost-per-area-model or a Lang factor model [ 32 ]. The first model consists in defining the cleanroom area of a facility along with its noncleanroom area, summing both areas multiplied by their respective price-per-square-meter (or another unit of area) and then adding the total equipment acquisition cost [ 33 ].…”
Section: Bioprocess Economicsmentioning
confidence: 99%
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