WEBVTT

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The health care industry is facing
major challenges.

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It has to deliver better
outcomes, greater value

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and more personalization
for patients and physicians.

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Generative AI, with its powerful tools
for solving problems,

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is uniquely placed
to address these challenges.

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Generative AI tools can mine large amounts of data,

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they can derive insights,
and they can personalize content.

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Many traditional pharma and AI challenger
companies are already beginning

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to use these tools in drug discovery,
in clinical trials

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and in other areas.

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How is this possible?

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Discovering a drug involves
finding a new chemical structure.

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Chemistry is, of course, a language

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and these new generative AI algorithms are language-based.

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So, when we teach chemistry
to these large language models,

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we expect to be able to discover
new drug molecules more quickly.

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Generative AI algorithms can also be used
in clinical trials.

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By synthesizing the historical records
for thousands of previous studies,

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it can help to define the best design
for a new trial.

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Looking ahead, we see many applications
for generative AI in health care.

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Of course, companies need to use
these technologies in a responsible way.

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Always having a human in the loop – reviewing, validating and confirming what the AI algorithm is suggesting.

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But if we do it right,
the potential is enormous.