PSI Journal Club: Limitations and Challenges with Mixed Model Repeated Measures (MMRM) Analysis
Moses Mwangi and Florian Lasch present their recent work on MMRM, with discussion lead by Geert Molenberghs.
How to find us: UCB, 208 Bath Road, Slough, SL1 3WE
In association with PSI, UCB and Cytel are delighted to invite you to join a symposium, educating on Artificial Intelligence (AI) approaches and their impact on clinical development.
With so many recent advances in AI, it is important both for statisticians to keep up to date with the most recent methods and be involved in guiding their application to the most pressing statistical challenges. This one-day event will cover cutting edge examples of how data science and statistical sciences are intersecting, and where attendees can fit into that space. Come to learn and discuss why different approaches matter when looking at clinical development data.
Here's 5 reasons why you can't afford to miss it:
1 Hear from the experts leading the way in AI: We have exciting speakers from the University of Oxford, PSI, Roche, Cytel and UCB
2 Observe real case studies: Learn from current Industry challenges and successes
3 Statistical mind shift: Appreciate the importance of different approaches when looking at the data and augment existing methods
4 Making machine learning more accessible: Technology showcase of latest tools
5 Network with your peers: Exchange insights and help shape the new paradigm
Time |
Agenda |
09:00 - 09:30 |
Registration and Coffee |
09:30 - 9:45 |
Welcome |
09:45 - 10:45 |
Understanding activity patterns through wearable devices and AI algorithms |
10:45 - 11:30 |
Why statisticians should be driving machine learning and AI projects |
11:30 - 11:45 |
Break |
11:45 – 12:30 |
The need for data science in the new clinical development paradigm |
12:30 - 13:30 |
Lunch and Networking |
13:30 - 14:15 |
Technology Showcase |
14:15 - 15:00 |
Predicting Crohn's disease risk in asymptomatic relatives Dr Ken Hanscombe, Research Associate at King’s College London |
15:00 - 15:15 |
Coffee Break |
15:15 - 16:00 |
Roche's experience developing Advanced Analytics Communities both internally and externally |
16:00 – 16:45 |
Panel Discussion |
16:45 – 17:00 |
Closing Remarks |
17:00 – 18:00 |
Drinks Reception and Networking |
Please click here to register, please email PSI@mci-group.com to advise of any dietary requirements ASAP.
Registration |
£60 + VAT |
Abstracts
UCB |
Technology Showcase Abstract: This will be a technical demonstration highlighting some of the latest technology available for performing machine learning and other high intensity computational tasks, including a demonstration of Intel’s portable neural compute stick and a look at how new advances, such as quantum computing, will change the technological landscape. |
Chris Holmes (University of Oxford) |
Understanding activity patterns through wearable devices and AI algorithms |
Frances Kendall (Cytel) |
The need for Data Science in the New Clinical Development Paradigm Abstract: This talk will set the stage on why Data Science is needed to support a New Clinical Development paradigm and what are the drivers of change. It will then put forward an idea on what that Paradigm could look like with examples of work that demonstrate this direction. |
Moira Verbelen (UCB)
|
Why statisticians should be driving machine learning and AI projects |
Ken Hanscombe (King’s College London)
|
Predicting Crohn's disease risk in asymptomatic relatives |
Chris Harbron (Roche) |
Roche's experience developing Advanced Analytics Communities both internally and externally |