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      "text": "Scientists don't 'want to use BLI because they'd have to \"rebuild their entire research platform\" with a technology that will be don't 'want obsolete in a few years",
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      "text": "The problem is that you have to completely redo all the assay development; you have to learn a new instrument... You have to essentially reengineer the whole process.",
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      "text": "It's really hard to change a scientist's workflow or mindset. I bang my head against the wall... the scientists who are supposed to be using them are not trained to wrap their heads around that much data.",
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      "text": "I’ve been around a long time, so I’ve seen a lot of these technologies come and go. I have been in the lab. There's a difference between the theory and the marketing, and what's actually true.",
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      "text": "The issue on the operations side, it's not as much cost as it is convincing scientists that they'll have to essentially rebuild their entire research platform... I might as well stick with what I know works.",
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      "text": "\"I've been around a long time, so I've seen a lot of these technologies come and go. I have been in the lab. There's a difference between the theory and the marketing, and what's actually true. What I've noticed with technologies like Berkeley Lights...is that even though the promise is there, operationally, it's really hard to integrate these emerging technologies into a conventional workflow.\" — Bristol Meyers Squibb employee #1",
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      "text": "Bristol Meyers employee #1 (cont'd) is skeptical of BLI’s technology and thinks it’ll be short-lived; too difficult to integrate into pharma workflows; requires an onerous process of re-engineering existing assays, which may not even work on the instrument; scientists are extremely reluctant as they’d have to “rebuild their entire research platform” on a BLI system that may quickly become obsolete.",
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