WEBVTT

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<v ->We take a digital-first approach,</v>

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challenging ourselves to create products, capabilities,

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and insights that are positively disruptive

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or raise the standard of care.

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(lively music)

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<v ->I'm delighted to welcome Lidia Fonseca,</v>

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Executive Vice President

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and Chief Digital and Technology Officer

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at Pfizer since 2019.

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Lidia, welcome, and thank you for joining me.

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Tell us about Pfizer's bold digital transformation

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a little more.

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<v ->First, we lead</v>

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with the experience we're trying to create

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for patients, physicians, payers, regulators,

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and our own colleagues.

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Second, we take a digital-first approach,

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challenging ourselves to create products, capabilities,

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and insights that are positively disruptive

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or raise the standard of care.

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Third, we bring digital innovation

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across our entire value chain horizontally

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so that we can achieve maximum impact.

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We're driving end-to-end innovation

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with three strategic priorities in mind:

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to improve patient health outcomes,

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to bring medicines to patients faster,

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and fuel tomorrow's breakthrough therapies,

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starting with research and discovery,

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where supercomputing capabilities

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with AI and machine learning are helping our scientists

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accelerate compounds through discovery to development.

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We leverage virtual in silico screening,

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which refers to sophisticated computational modeling

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and simulation techniques

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that test molecular compounds in a virtual lab.

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This capability reduces computational times by 80 to 90%,

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quickly narrowing down to only those compounds

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with the highest chance of becoming the medicine we need.

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<v ->How do we leverage digital data and AI</v>

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and how this program has accelerated your purpose

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and what the biggest wins are so far?

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<v ->We're also using generative AI modeling</v>

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to design entirely new molecules with optimal activity,

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searching beyond known molecules

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to propose entirely new chemical structures.

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In clinical development,

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digital brings the trial to the participant

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through remote trials,

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helping boost recruitment, retention, and diversity

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while elevating the participant experience.

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AI and machine learning are enabling our teams

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to perform quality checks

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and analyze vast amounts of clinical trial data

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50% faster than prior methods.

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Over on the manufacturing front,

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our patent-pending Digital Operations Center

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provides an end-to-end view of manufacturing and supply.

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This allows the team to predict issues

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and adjust in real time

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and has yielded 20% increase in throughput.