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      The AI revolution in medicine and life science

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      conference-abstract
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      REPO4EU
      RExPO23
      25-26 October 2023
      Generative AI, GPT4, ChatGPT, LLM, Precision Medicine, Partnerships
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            Abstract

            Data is at the heart of any healthcare organization. It has the potential to do so much good—from enhancing patient experiences to empowering workforce productivity to advancing health equity for improved health outcomes. And leveraging AI is the key to unlocking its full potential across your organization and throughout care delivery.

            OpenAI and their solution ChatGPT have in a very short time shown the power of AI and Large Language models. We are at the starting point for how to bring generative AI to the forefront of the healthcare industry, working through flagship collaborations between industry, health providers and society. In this session we will explore early adoption cases of Generative AI to transform experiences and ignite insights into the vast yet still siloed health data landscape and discuss the transformative potential of CoPilot solutions to securely unlock the productivity pools in Research & Development. We will delve into how foundation models interpret complex datasets, from genetic profiles to clinical records, and extrapolate patterns that were once hidden. The culmination of this process results in the creation of highly individualized treatment plans, ensuring that the right treatment reaches the right patient at the right time. We have entered a new era in precision health, and it becomes imperative to understand and harness the power of Generative AI, from organizational capabilities to technology adoption, governance, and business strategies.

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            Author and article information

            Conference
            REPO4EU
            6 October 2023
            Affiliations
            [1 ] Microsoft Global Health & Life Science;
            Article
            10.58647/REXPO.23026
            f2464280-a8e6-4004-be93-8020deb69324
            Authors

            Published under Creative Commons Attribution 4.0 International ( CC BY 4.0). Users are allowed to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material for any purpose, even commercially), as long as the authors and the publisher are explicitly identified and properly acknowledged as the original source.

            RExPO23
            2
            Stockholm, Sweden
            25-26 October 2023
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            REPO4EU

            Categories

            Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
            Pharmacology & Pharmaceutical medicine
            Generative AI,GPT4,ChatGPT,LLM,Precision Medicine,Partnerships

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