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• W2893583681 abstract "The ever-increasing cost of drug discovery and development represents a significant challenge for the pharmaceutical industry and new strategies to bridge studies between preclinical testing and clinical trials are needed to reduce the knowledge gap prior to first human exposures, and to allow earlier decisions to be made on the further development of drugs. A number of studies have demonstrated that various cell types differentiated from human induced pluripotent stem cells (iPSCs) do not just respond similarly to human tissues in general, but rather recapitulate the drug response of their specific donor's, when exposed to the same drug in vivo. This recapitulation opens the doors to Clinical Trials in a Dish (CTiD), a platform which involves testing, in vitro, medical therapies for safety on cells collected from a sample of human patients, before moving into clinical trials. However, the science behind CTiD is complex, and every element of the process from tissue acquisition to data generation must be assessed and designed to meet quality metrics and standards. Without such rigorous assessment and design, the basic scientific integrity of CTiD constructs is likely compromised, and the results questionable. Given the lack of standard process and/or quality metrics in place for the use of stem cell-based products for in vitro testing per se, we discuss here the key elements that one needs to consider when designing, implementing and executing CTiD studies, in order to ensure an approach that will reliably mimic clinical trials, and allow obtaining reproducible and reliable experimental data." @default.
• W2893583681 created "2018-10-05" @default.
• W2893583681 creator A5045901294 @default.
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• W2893583681 date "2018-11-01" @default.
• W2893583681 modified "2023-10-16" @default.
• W2893583681 title "Challenges in designing and executing clinical trials in a dish studies" @default.
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• W2893583681 doi "https://doi.org/10.1016/j.vascn.2018.09.002" @default.
• W2893583681 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30267757" @default.
• W2893583681 hasPublicationYear "2018" @default.
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