8:30 am Coffee & Registration
9:00 am Chair’s Opening Remarks
LEVERAGING AI TO DESIGN THE RIGHT CLINICAL TRIAL FOR YOUR DRUG, PRECISELY
Clinical failure is often due to poor trial design. The following 5 sessions look at how you can use AI to find the best outcomes for the patients and the clinical trial itself, looking at methodologies to enroll the appropriate patients for drug studies and assessing the evolving application of AI in the pursuit of precision medicine. From optimizing AI for site selection through to data driven protocol design, targeted patient stratification and identifying the right tools to provide unbiased pipelines.
9:10 am Unlocking the Potential of Machine Learning (ML) in Clinical Development
- Kyle Holen Head, Development Design Center, AbbVie
- ML for selecting sites for clinical trials
- ML to predict patient drop-outs over a range of patient demographics to raise patient retention
9:40 am Using AI & Data Science to Rapidly Discover Precision Medicines by Analyzing Failed Phase 3 Trial Data
- Ed Addison CEO, Cloud Pharmaceuticals
- This presentation will look at methods in AI and Data Science for segmenting
patient populations to find successful drugs
- Using / leveraging AI to enroll trials for precision medicines, and reduce
10:10 am Using ML to Develop Personalized Medicine for Psychiatric Patients
- Qasim Bukhari Postdoctoral Research Associate, Massachusetts Institute of Technology
- Finding the right patient, for the right medication at the right dose
- Developing analytical tools for application in neuroscience, both imaging and
10:40 am Morning Refreshments & Speed Networking
11:40 am Use of AI in Computational Pathology for Patient Stratification
- George Lee Digital Pathology Informatics Lead and Data Scientist, Bristol-Myers Squibb
- Deep Learning for improving quality of pathology data in clinical trials
- How we are developing the next generation of machine learning and feature
12:10 pm Using Probability-Based AI to Augment Clinical Development
- Leonardo Rodrigues Vice President, AI & Machine Learning, Berg
- How is the Healthcare field embracing AI?
- How to develop a new AI system to attend current challenges?
12:40 pm Networking lunch
EXECUTING THE INNOVATIONS: WHY, WHEN & HOW TO IMPLEMENT AI INTO YOUR CLINICAL DEVELOPMENT PIPELINES
In these sessions we look at how to innovate in a more open, collaborative, cost effective and timely manner. These sessions look at mapping out the implementation of AI into clinical development, the practical adoption and technical implementation of AI. Critically this section looks at understanding why, when and how to implement AI into your clinical development pipeline: executing the innovations.
1:40 pm Infrastructures, People Structures, & Problem Structures: Managing the Shift to AI
- Peter V. Henstock AI strategy & Machine Learning Technical Lead, Pfizer
- Challenges in leveraging AI in pharma
- Why AI will fundamentally change the paradigms
2:10 pm Panel Discussion: How Do You Build a Business Case Behind an AI Platform?
- Ameya Phadke Digital Health & Technology Transactions Lead, Chiesi Pharmaceuticals
- Where does it pay-off and where does it not?
- When does it make sense to implement AI-ML?
2:40 pm Combining Blockchain, Machine learning & Process Automation to Optimize the Future of Clinical Development
- Basker Gummadi Director Technology and Innovation, Celgene
- How can blockchain and machine learning deliver real value and speed up drug development?
- How can we serve our patients better and increase transparency in clinical trials?
3:10 pm Networking Break
3:40 pm Roundtable Discussions
Our breakout roundtables will allow you to have more intimate discussions with AI and pharma leaders around some of the hottest topics in the field. Discover multiple perspectives on these key issues, so that you can learn from your fellow experts in the audience. Drive your own learning, crowd-source ideas and get inspired.