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When we look at this rapidly evolving

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space, what we see are four factors that

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are leading to the rapid digitization of

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pharma companies, CROS and biotech

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organizations. The 1st is that precision

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medicine, even outside of digital

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pathology, is seeing an enormous amount

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of investment and focus. There's a need

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to treat the right patient with the right

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drug and we finally have the capacity to

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deliver against that. It's therefore

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receiving a lot of additional attention.

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Pharma companies are restructuring around

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this concept. And it's supported by a

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second convergence aspect here, which is

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the rise in the next generation

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therapies, novel approaches to targeting

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individual patients or subpopulations of

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patients with therapies that work

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extremely well, better than the standard

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of care for that targeted subpopulation.

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In parallel, what we're also seeing

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is a revolutionary leap forward in

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artificial intelligence. We've seen more

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advances in the last two years with

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artificial intelligence than we did in

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the prior 20, and it's reshaping how we

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extract new insight and new information

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from what's ultimately an explosion in

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new high-value data

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that's emerged from digitization of

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histopathology from digital pathology

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adoption. And in tandem, these four

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pillars are reshaping drug discovery and

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drug development.