When:
Time: 8:00am PDT, 11:00am EDT, 4:00pm BST, 5:00pm CEST
Duration: 220 minutes
Natural language processing is a powerful technology that is being applied in new and innovative ways across healthcare and life science.
Join our in-person seminar series to hear about the advances in NLP and machine learning techniques being applied within healthcare, pharma, and government organizations. Learn about new applications for leveraging NLP to unlock key insights from unstructured text to improve patient outcome, safety assessment, brand awareness, and more.
The seminar will focus on topics such as precision medicine, risk adjustment, population health as well as generating high-quality data and insights for drug discovery, safety, regulatory and medical affairs teams.
During this one day seminar, there will be customers’ use case presentations using IQVIA NLP, product updates and IQVIA overview along with networking opportunities with your peers and IQVIA NLP Experts, knowledge sharing and hands-on learning.
Topics covered:
The final agenda will be available in the weeks ahead but use cases will cover:
- Providers & Health Systems, Payers & Insurance Companies
- Pharma discovery, safety, regulatory, and medical affairs
Who should attend:
- Current customers – we would love to say hi in person and show you our latest solutions
- Researchers, scientists, product teams, clinicians
- Data scientist, technical architect, executive in innovation, analytics quality or data role working with lots of unstructured data
- Anyone struggling to get the information you need from volumes of unstructured record and texts
This event we will be a good opportunity to learn about Innovative NLP Solutions and how others use NLP to solve their data challenges.
Innovating with AI: digital transformation for safety and regulatory affairs by Jane Reed, Director NLP Safety & Regulatory at IQVIA
The pharmaceutical industry is one of the world’s most heavily regulated industries, and the traditional document-centric approach poses challenges in terms of efficiency, cost and value. The ever-increasing volume of safety records and relevant regulatory data mean companies need tools and solutions to assist with safety and regulatory processes. Many companies are looking to innovative new technologies to 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, presenting use cases from the FDA and top pharma.
Three ways NLP brings value to Medical Affairs, Real-World & Commercial teams by Hywel Evans, Director NLP for Medical Affairs & Commercialization at IQVIA
There is a huge amount of valuable text and document-based information available to medical and commercial teams, but it is often a challenge to work with. From notes captured by field teams that capture the unmet needs of physicians, patient perspective online, to the latest scientific literature and congress abstracts, this data can inform content development, medical and commercial strategy, competitive insights and more. Join us to hear about three examples of applied AI and NLP to unlock these invaluable data sources.
Accelerating Drug Development with NLP by Constantinos Kateatis, Associate Director NLP R&D at IQVIA
The growing document volume and varied data sources in drug development is a constant challenge. Natural language processing (NLP) technologies are key to efficiently keep up with the latest information. Generate insights 10-100x faster by combining new innovative large language models (LLMs) with established methods for a range of drug development tasks, including target identification, target prioritization, clinical trial design, and more.
Navigating the landscape in Healthcare NLP - potential and pitfalls by Calum Yacoubian, Director NLP Healthcare Strategy at IQVIA
The value of text and the ability to generate impactful insights from it has never been more widely accepted than now. This is thanks in large part to the recent explosion of activity around large language models and generative AI. In this talk, we will go over the areas in which healthcare based textual data holds huge promise for healthcare organizations, and the importance of choosing the right tool for the job when it comes to extracting information from these complex data.
Speakers
Jane Reed
Director, NLP, Safety & RegulatoryJane Reed
Jane Reed is Director of NLP at Linguamatics, an IQVIA company. She is responsible for leading the strategic vision for Linguamatics product portfolio and business development for the pharma and biotech market, with a focus on safety and regulatory. Jane has 20+ years’ experience in vendor companies supplying data products, data integration and analysis, and consultancy to pharma and biotech—with roles at Instem, BioWisdom, Incyte, and Hexagen. Before moving into the life science industry, Jane worked in academia with post-docs in genetics and genomics. Jane holds a MA from Cambridge University and a PhD from Birmingham University.
Hywel Evans
Director, NLP for Medical Affairs & CommercializationHywel Evans
Hywel Evans leads the development, application and delivery of IQVIA’s (formerly Linguamatics) NLP offerings within Medical Affairs and Commercial Pharma teams and has been with IQVIA for over 6 years. He also leads the NLP Insight Hub offering, which transforms and integrates information from a wide range of structured and unstructured data sources into a single convenient platform. Hywel was previously a Principal leading Real World Technology & Analytics for the APAC region based in Singapore, leading a team of data scientists and consultants in the design & delivery of analytics solutions, and the development of real-world data assets and collaborations. Hywel has consulting and technology experience across life sciences, healthcare, financial services and consumer industries. He has expertise in building analytics and data teams, delivering data driven strategies, designing and executing behavioral insights and stakeholder engagement initiatives. Prior to joining IQVIA, Hywel was a consultant at Booz&Co and EY. He holds a Master’s degree (MEng) in Engineering from the University of Cambridge.
Calum Yacoubian
Director NLP Healthcare StrategyCalum Yacoubian
Dr. Calum Yacoubian is Director of Healthcare Product & Strategy at Linguamatics, IQVIA. He is a medical doctor who trained and practiced in the UK before moving into medical technology. He has worked with Natural Language Processing in clinical data for over 5 years and is passionate about the potential for data to drive improved patient outcomes.
Constantinos Katevatis
Associate Director, R&D NLPConstantinos Katevatis
Constantinos Katevatis is Associate Director, R&D NLP at Linguamatics, an IQVIA company. He is responsible for developing the strategic vision of Linguamatics’ product portfolio and business development for R&D and clinical operations in the pharma and biotech industries. Constantinos has experience and expertise in NLP-centric data extraction and data management across the pharma product life cycle. Before joining the life science industry, Constantinos completed a doctorate on DNA-based medical devices.
Kaitlyn Whyte
Linguamatics Application ScientistKaitlyn Whyte
Kaitlyn Whyte is a Linguamatics Application Scientist who provides NLP solutions for extracting insights from unstructured customer data, scientific literature, clinical databases, real world evidence, and more. She ensures client success by providing application support throughout the entire customer journey.
David Di Valentino
AI/ML Solutions Lead for Privacy AnalyticsDavid Di Valentino
David Di Valentino, PhD is the AI/ML Solutions Lead for Privacy Analytics. David applies his expertise in data science, AI/ML, and data analysis to develop products and solutions for maintaining data privacy across a wide variety of data modalities and contexts. David’s work helps organizations in multiple sectors, including healthcare and technology, maximize the analytical value of their data, while meeting global standards for data privacy.
Chad Konchak
Assistant Vice President of Data Analytics at NorthShore-Edward-Elmhurst HealthChad Konchak
Chad Konchak is the Assistant Vice President of Data Analytics at NorthShore-Edward-Elmhurst Health: a 9-hospital integrated healthcare delivery system in the northern Chicagoland area. In his role, Chad oversees the team responsible for the system’s clinical and operational reporting, analysis and predictive modeling, which focus on leveraging and delivering data that improve the quality of care, patient and physician experience, and efficiency of the healthcare system. Chad is also a faculty of the American College of Healthcare Executives where he teaches a course on healthcare analytics for executives.
Niamh McGuinness
Regulatory Segment Lead and Transparency AdvisorNiamh McGuinness
Niamh is a Regulatory Segment Lead and Transparency Advisor with IQVIA’s Privacy Analytics. Niamh’s team uses advanced clinical natural language processing technology (cNLP) to detect, extract and transform data elements in clinical trial documents to satisfy regulatory requirements and other use cases.
Drawing on her academic research background, Niamh has helped develop Privacy Analytics’ clinical trial disclosure methodology and solutions, working with clients to solve their transparency-related business problems.
Niamh is based in Ottawa, Canada.
Lenon Mendes
NLP Research and Development EngineerLenon Mendes
Lenon is a Nuclear/Automation Engineer with a Ph.D. in Life Sciences and almost 10 years of experience in developing new technologies for healthcare. Currently working as an AI Solutions Delivery specialist for IQVIA and responsible for the deployment and development of NLP enterprise solutions for pharmaceutical companies, healthcare providers, and research centers.
