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Virtual NLP Summit - Innovate with NLP and AIML - EMEA/APAC Day


Time: 1:30am PDT, 4:30am EDT, 9:30am BST, 10:30am CEST

Duration: 180 minutes


We invite you to join us at the IQVIA Virtual NLP Summit for an event focused on showcasing value of Natural Language Processing (NLP) for you, our esteemed clients and partners.  

With speakers from top pharma and healthcare organizations, a showcase of the latest innovations in AIML and NLP, online networking, and the opportunity to meet with our team on a 1:1 basis, this is an event not to be missed.  

The NLP Summit on Thursday 15th June 2023 at a time suitable for our EMEA/APAC audience and will be available for all to watch on-demand. We will be announcing the speaker line up very soon…so watch this space.  

The NLP Summit brings together presentations from pharma and healthcare customers who will share their success stories of using NLP to accelerate innovation and impact patient outcomes. Our NLP experts will share exciting product development and technology updates, and how these new technologies can support your business objectives.  

The event will include breakout sessions, networking, interactive polls as well as opportunities to speak 1:1 with an NLP expert. 

This exciting event attracts speakers and attendees from top pharma, leading government organizations and healthcare organizations. Past speakers include: Sanofi, Chiesi, CSL Behring, Guardant Health, Kaiser Permanente and US FDA.  

Check out our eBook  from last year’s event. 

Who is it for? 

VPs, Directors, managers, researchers, analysts, data scientists, informatician and clinicians working in pharma/biotech, healthcare providers and payer organizations looking to learn how to get more value from NLP and learn about the latest innovations.  

 Why attend? 

  • Learn how our clients are accelerating innovation and impacting patients with NLP and ML 
  • Learn about the latest AIML and NLP technologies  
  • Network with peers, discuss your challenges in breakout sessions 
  • Our experts are ready to listen – secure a 1:1 session to discuss projects, provide product feedback, request features, or learn more about our new innovations. 


Assisting Clinical Trial Study Design with AI - Emilie Louvet (AstraZeneca)

There are multiple ways to assist clinical trial study design with AIand nowadays one has access to vast and numerous dataset types. In this talk we will address how to select optimal endpoints, to develop comprehensive clinical goals and finally how implementing AI throughout study design leads to more predictable results. To this end we will show the benefit of mining scientific literature with NLP usingbothi2e (an IQVIA NLP software solution) and a deep learning approach.

Reducing the Noise: Innovative NLP in Healthcare - Paul Milligan (IQVIA)

Across drug discovery and development, scientists, clinicians, product teams and more need access to the information buried in unstructured text. AI technologies can reduce manual effort and provide effective access to the critical information for your decision support.  

In this webinar, we will provide an update of some of the latest innovations in AI. We will talk about the ability to bring machine learning models (such as BERT and GPT) into our technology platform, to allow for the combination of multiple NLP technologies. We will demonstrate IQVIA Human Assisted Review Tool, which enables effective document curation to speed up review and generate annotations for learning NLP. We will also showcase some recent use cases from customers, such as Genentech and AstraZeneca. 

Staying ahead of the curve: How AI & NLP drive richer insights for medical affairs - Hywel Evans (IQVIA)

NLP & AI approaches can help medical affairs teams better understand the stakeholder, patient and competitive landscapes for a therapy area. The data and insights generated can inform evidence generation, communication strategies, drug development, launch strategies and more.   
Field medical interactions are often captured as “MSL Insights” but turning these rich data into insights is often time consuming and manual. NLP can help automate the classification of these notes against key topics such as diagnosis, dosage, comorbidity and others. Similar approaches can be applied to other data sources such as medical information requests and digital interactions, allowing medical affairs teams to be more efficient and responsive to the needs of stakeholders  
Join us to learn approaches and examples of how to apply NLP, machine learning, and large language models such as GPT to MSL notes, literature reviews, social media, congress abstracts and more.

Innovating with AI: digital transformations for safety and regulatory affairs - Jane Reed (IQVIA)

With both increased globalization and the enhanced understanding of risk comes a growing requirement for regulation. Changing regulatory and safety requirements, and the ever-increasing volume of safety records and relevant regulatory data, mean companies need tools and solutions to assist with safety and regulatory processes. In addition, safety and regulatory processes are document-heavy, leading to intensive manual work. Many companies are looking to innovative new technologiesto transform document-driven processes to data-driven ones. In this session, we will discuss the potential that innovative NLP can bring, for digital transformation, automation, and human-in-the-loop augmented intelligence.

Accelerating Drug Development by Leveraging NLP - Constantinos Katevatis (IQVIA)

Pharma organizations have an ever-increasing amount of data that can be used in early drug discovery and clinical trials. With 80% of all data in unstructured formats, organizations need innovative technologies to untap the potential value of these data streams. Deploying natural language processing (NLP) at scale is key to greatly increasing data access and data insights from these data sources. In this section, we'll cover how NLP can help speed up the speed-to-insight 10-100X. Specifically, how we’re implementing the latest machine learning (ML) technologies and several of our use cases including target identification, precision medicine, and clinical trial analytics.


Emilie Louvet
Emilie Louvet
Director Regulatory Data Products at Astrazenca
Jane Reed - Director, NLP, Safety & Regulatory
Jane Reed
Director, NLP, Safety & Regulatory
Constantinos Katevatis is Associate Director, R&D NLP at Linguamatics, an IQVIA company
Constantinos Katevatis
Associate Director, R&D NLP
Hywel Evans, Director, NLP for Medical Affairs & Commercialization
Hywel Evans
Director, NLP for Medical Affairs & Commercialization
Paul Milligan - Director, Product Strategy
Paul Milligan
Director, Product Strategy

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