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ISMPP U - How AI can increase accessibility: Applying AI from Google to GPT3 for generating Plain Language Summaries

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How AI can increase accessibility: Applying AI from Google to GPT3 for generating Plain Language Summaries

The application of Advanced Publication Analytics and Natural Language Generation (NLG) is leading to novel methodologies to make medical publications more accessible to patients and clinical providers. Through the application of readability analytics and NLG, learn how life sciences companies that must meet E.U. regulations for Plain Language Summaries(PLS) are deploying AI to generate and validate plain language summaries, radically reducing the cost and time to meet regulations as well as opening up the possibility for all medical publications to have PLS auto-generated and available at scale.

Learn how E.U. regulations and patient needs are driving demand for PLS. Explore how advanced analytics and NLG are creating novel methods of generating PLS content. Analyze the appropriate role for these tools to be deployed in your publication workflow. Develop a framework for addressing the risk of harnessing AI-generated content and meet growing patient and regulator demands

Learning Objectives: At the end of this session attendees will

  • Broaden their current understanding of AI technology
  • More specifically understand NLG and the role it can play developing relevant publications content
  • Be confident that AI can positively support the regulatory demands of the publications community - with a particular focus on PLS development

Approved for 1 CMPP credit.

Description

How AI can increase accessibility: Applying AI from Google to GPT3 for generating Plain Language Summaries

The application of Advanced Publication Analytics and Natural Language Generation (NLG) is leading to novel methodologies to make medical publications more accessible to patients and clinical providers. Through the application of readability analytics and NLG, learn how life sciences companies that must meet E.U. regulations for Plain Language Summaries(PLS) are deploying AI to generate and validate plain language summaries, radically reducing the cost and time to meet regulations as well as opening up the possibility for all medical publications to have PLS auto-generated and available at scale.

Learn how E.U. regulations and patient needs are driving demand for PLS. Explore how advanced analytics and NLG are creating novel methods of generating PLS content. Analyze the appropriate role for these tools to be deployed in your publication workflow. Develop a framework for addressing the risk of harnessing AI-generated content and meet growing patient and regulator demands

Learning Objectives: At the end of this session attendees will

  • Broaden their current understanding of AI technology
  • More specifically understand NLG and the role it can play developing relevant publications content
  • Be confident that AI can positively support the regulatory demands of the publications community - with a particular focus on PLS development

Approved for 1 CMPP credit.

Contributors

  • Richard Graves, Chief Commercial Officer & Co-founder, Sorcero

    • Richard Graves is an award-winning entrepreneur scaling science-based solutions to global challenges. He co-founded Sorcero to accelerate how medical science and AI can inform patient outcomes
    • Richard is a Sir Edmund Hilary and Laureate Global Fellow and was a Deloitte Fast/Inc 500 awardee
    • He was a former Technical Advisor to the U.S. Department of Energy, worked with the National Labs on energy and data modeling, and is co-author of multiple patents in AI and NLP

  • David Hogben, EVP, Head of North America and Global Multichannel Complete HealthVizion, an IPG Health Company

    • David Hogben brings over 25 years experience in digital communications and marketing, with the last 12 years exclusively in medical communications
    • An experienced leader working with a range of pharmaceutical and biotech companies across multiple therapy areas. David provides expertise in the development, implementation and measurement of omnichannel engagement
    • David has a passion for technology and combines this with a strong strategic understanding to drive the creation of innovative tools and platforms

  • Moderator: Nithi Vivatrat, Chief Product Officer, Sorcero

    • Nithi Vivatrat is an operations and product executive versed in building enterprise analytics companies
    • Nithi was co-founder and CPO of Clarabridge (acquired by Qualtrics), rated by Forrester as a Leader in AI-based Text Analytics and Customer Feedback Management Systems. He is a co-inventor on two patents for the analysis of unstructured data
    • He graduated from the Massachusetts Institute of Technology (MIT) with a BS in Economics and is the chair of the Project on Government Oversight

February 22, 2023
Wed 11:00 AM EST

Duration 1H 0M

This live web event has ended.

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