Artificial Intelligence at ICON: How a world-leading healthcare intelligence CRO is transforming the delivery of clinical trials

Life Sciences, Clinical Trials,
  • Monday, November 27, 2023 | 10am EST (NA) / 3pm GMT (UK) / 4pm CET (EU-Central)
  • 60 min

Discover an innovative webinar delving into how ICON — a healthcare intelligence clinical research organization (CRO) — uses award-winning artificial intelligence (AI) solutions to transform the future of clinical research. AI is a general term for software that mimics human cognition or perception. Rapid progress in AI is transforming many industries with considerable impact, including clinical trials.

In this webinar, the featured speakers will discuss how ICON, a healthcare intelligence CRO is helping to transform clinical trial delivery. Topics and learnings include:

  • How ICON approaches AI
  • ICON’s award-winning AI solutions help identify the best sites the first time, accurately predict post-marketing requirements and rapidly connect key opinion leaders in a given rare disease space
  • The future of AI in clinical research

Join the featured speakers to learn how ICON is using AI to improve industry processes and help solve problems people didn’t once think possible.


Gerard Quinn, ICON

Gerard Quinn, VP, IT Innovation & Informatics, ICON

Gerard Quinn has worked at ICON for over nine years and currently holds the role of VP of Innovation & Informatics. He has over 25 years of experience in the life science industry, in both human and animal health, with experience in innovation, strategy and project portfolio management, process improvement and IT.

Gerard holds an MSc in Strategic Quality Management — Lean Six Sigma, a BSc is Technology Management and a Lean Six Sigma Master Black belt. He applies his experience to all areas of e-clinical innovation and the nurturing of the enterprise innovation mindset.

Gerar’s team at ICON leads innovative activities in technology and data science. They identify and build critical partnerships with life science and technology leaders to co-develop services and capabilities by evaluating joint capabilities with the aim of driving efficient clinical trials for our sponsors and patients. They also lead the development of ML/AI solutions that improve cycle times across the clinical research value chain, provide new intelligence and insight for key decision-makers and in general improve the speed and quality of clinical research.

Message Presenter
Michael Phillips, ICON

Michael Phillips, Senior Director, Innovation & Informatics, ICON

Michael Phillips has worked for ICON for approximately 10 years and currently leads the innovation data science team. He has over 20 years of experience in IT, business intelligence, data analytics and eClinical innovation, accumulating strong expertise in team leadership, business partnering, solution design and customer engagement. He has broader experience in academic biomedical research, with a PhD in Drug Metabolism Enzymology, and spent 10 years working in management roles in biomedical publishing. Michael is the author of TIBCO Spotfire — A Comprehensive Primer.

Message Presenter
Gilyana Borlikova, ICON

Gilyana Borlikova, PhD, Data Science Manager, IT Innovation & Informatics, ICON

Gilyana Borlikova is a Data Science Manager (Principal Data Scientist) at ICON plc. IT Innovation and Informatics Data Science team, responsible for the development and delivery of ML/AI solutions. Over 20 years of experience in life sciences and 7 years specifically developing and implementing Machine Learning algorithms for clinical trial operations.

Prior to joining ICON, Gilyana spent 15 years working in several leading research-intensive universities, including the UCD Centre for Business Analytics at University College Dublin (Ireland), the University of Queensland (Australia) and the University of Sussex (UK). Gilyana holds an MSc in Business Analytics and PhD in Neuroscience. She has extensive research experience with five peer-reviewed publications in the field of machine learning and 15 peer-reviewed journal publications in biomedical research.

Message Presenter

Who Should Attend?

This webinar will appeal to professionals working in:

  • Senior leadership life science industry
  • Study start-up
  • Commercialisation
  • Clinical project management
  • Data science/analytics
  • Quality/compliance

What You Will Learn

Attendees will gain insights into:

  • How ICON approaches artificial intelligence (AI)
  • ICON’s award-winning AI solutions help identify the best sites the first time, accurately predict post-marketing requirements and rapidly connect key opinion leaders in a given rare disease space
  • The future of AI in clinical research

Xtalks Partner


ICON is the world’s leading clinical research organisation, powered by healthcare intelligence. From molecule to medicine, we advance clinical research providing a comprehensive suite of outsourced development and commercialisation services to pharmaceutical, biotechnology, medical device and government and public health organisations. We develop new innovations, drive emerging therapies forward and improve patient lives. Our outsourcing models can be adapted to suit small local trials to large global programs, including full service, standalone services, FSP and full asset development.

With headquarters in Dublin, Ireland, ICON employs approximately 41,150 employees in 113 locations in 53 countries.

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