2018
DOI: 10.1016/j.phanu.2018.02.001
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Hybrid business models for ‘Organ-on-a-Chip’ technology: The best of both worlds

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Cited by 13 publications
(19 citation statements)
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“…The OoC can reproduce particular conditions, such as the presence of specific pathologies, age and sex differences, or metabolic modifications [3,7,8,15,[42][43][44]. The ability of OoC systems to mimic the functionality of an organ allows to visualize the impact of a condition on the organ's function.…”
Section: Ooc Basic Featuresmentioning
confidence: 99%
See 1 more Smart Citation
“…The OoC can reproduce particular conditions, such as the presence of specific pathologies, age and sex differences, or metabolic modifications [3,7,8,15,[42][43][44]. The ability of OoC systems to mimic the functionality of an organ allows to visualize the impact of a condition on the organ's function.…”
Section: Ooc Basic Featuresmentioning
confidence: 99%
“…The development of these models brought to the emergence of an industry with more than 28 companies founded in 7 years [7,17,18]. Hundreds of publications are generated each year regarding this topic, which rises the interest of companies carrying out basic research in the field of drugs and also in other areas such as cosmetics, food and medical devices [8,11,[19][20][21][22]. Some of the synonyms under which OoC can be found in the literature are the following ones: lab-on-achip [17], organoids-on-chip [23], organ-on-a-plate [6], tissue-on-chip [9], microphysiological system (MPS) [6], and MPS-based organ model [24].…”
Section: Introductionmentioning
confidence: 99%
“…Conventional in vitro and in vivo models will be replaced by these new preclinical technologies. The commercial interest in organ-ona-chip technology is growing, and the market for this technology is estimated to reach six billion dollars in about 5 years [128].…”
Section: Future Prospectsmentioning
confidence: 99%
“…A key factor to a linear technology development pathway is to define the value proposition, to promptly transition from an R&D-only stage to the validation phase, and finally move to optimization and scale-up for rapid adoption. These steps are necessary to deliver the promised benefits and to successfully exploit funding sources and investments [5]. Mistakes and delays along this path lead to continuous technological challenges and revisions of the business model, but most importantly, risk attenuating the interest of end-users and reduce future funding opportunities.…”
Section: Introductionmentioning
confidence: 99%