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Developing Digitally Derived Endpoints that Measure what Matters to Patients

Goals of novel digitally derived COA endpoint development are patient-centric measures that support regulatory decision making

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Three Good Reasons to Use Artificial Intelligence in Pharmacovigilance

Increasing number of drug safety information sources will benefit from accurate automated screening, processing, or evaluation

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Global Forum, DIA's Digital Magazine

Uncover expert insights through global and regional coverage of the discovery, development, regulation, surveillance, and marketing of healthcare products, including interviews with thought leaders and topical summaries from educational events.
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    Casey Walker
    “There were a few of her patients who were victims of substance abuse, and seeing how my aunt provided care for them inspired me to discover methods to treat victims such as these with a career in pharmacy.”
    Doctor of Pharmacy Candidate, Howard University
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    Jingsong Wang
    “We still have a lot of unmet medical and patient needs that can only be addressed when the community (including researchers, physicians, and policymakers) decide to work together. This is happening more and more in recent years, the outcomes of which you see in some of the most advanced medicines and healthcare systems available today.”
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    Kim Quaintance-Lunn
    “The greatest challenge in my view is the lack of harmonization among global health authorities. I will moderate that statement by saying that we should not harmonize for the sake of harmonization. We should harmonize to the best practice.”
    Vice President and Head, Regulatory Policy, North American Regulatory Affairs, Bayer
Casey Walker
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“There were a few of her patients who were victims of substance abuse, and seeing how my aunt provided care for them inspired me to discover methods to treat victims such as these with a career in pharmacy.”

Casey Walker

Doctor of Pharmacy Candidate, Howard University
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