- Clinical Trial Manager
- Clinical Research Consultant
- Clinical Project Manager
- Clinical Operations Manager
- Vendor Relationship Manager
- Chief Innovation Officer
- Chief Digital Officer
- Chief Data Officer
- Chief Technology Officer
- Head of Innovation
Bringing a drug to market is an arduous task, with the process taking from between 10 to 15 years while costing billions. Therefore, with claims that AI will be able to transform this process by improving the efficiency and optimization of clinical trials, it is no surprise that it has generated intrigue across life science industries.
This course will, through the investigation of key use cases, provide understanding on these questions and help management level staff make informed decisions regarding its use in their business.
This course has been tailored to provide decision-makers and those interested in the practical use of AI as applied to clinical trials.
Who want to understand new techniques in the aggregation and analysis of trial data, enabling new efficiency and increased ROI
Who want to avoid disruption in the rapidly expanding eclinical space, and effectively navigate the challenges faced by pharma.
Who want to be updated on the most recent developments of AI-enabled clinical innovation to understand how it can be incorporated into their business