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The virtual patient: How to use AI-powered conjoint to understand complex treatment decisions
Small populations and even smaller sample sizes are a common problem when conducting healthcare market research, particularly within rare diseases. Could virtual patients help us to plug the gaps and determine how physicians might treat their patients in a clinical setting?

Register for our next live webinar to find out how a combination of virtual patients and artificial intelligence can help you to better understand physicians’ decision making processes. Using a series of real-life case studies, quantitative experts Richard Goosey and Will Tolley will outline how we’ve been helping pharmaceutical companies to determine which patient attributes are driving treatment choices, which segments they should be targeting, and the likely demand for their product profiles using the latest technologies and advanced analytical techniques.

What are the takeaways?

• Learn how virtual patients could help you to better understand treatment decisions
• Discover how AI-powered conjoint can provide you with more actionable data
• Find out how Research Partnership can help you to better predict what might happen using AI
• Pick up practical tips for conducting conjoint in a range of small sample settings

Feb 23, 2023 03:00 PM in London

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Richard Goosey
Head of analytics @Research Partnership
Richard leads our in-house advanced analytics team. Based in the UK Headquarters, Richard has over 40 years’ experience in marketing science, analytics and methodology. He is a Fellow of the Market Research Society and Royal Statistical Society, and is currently the Chief Examiner for the MRS Diploma in Analysing & Interpreting Quantitative Data. Richard is also an invited member of the EphMRA Forecasting Forum.
Will Tolley
Director @Research Partnership
Will is a Director within the Quantitative team at Research Partnership, with over 10 years’ experience in healthcare market research. Will is primarily focused on quantitative research and has worked across a wide range of multi-market studies using various methodologies including segmentation and demand assessment.