The increasingly complex environment of Clinical development has raised the challenge of optimally designing studies with the concomitant need to mitigate risks and accelerate outcomes across an entire R&D portfolio. What are the next steps in this evolution and how can we use closed loop decision making as well as probabilistic AI models to proactively mitigate risk and increase the impact of decisions?
Work collaboratively with peers to learn and identify ways in which enterprise visibility of data, and leveraging AI, can solve for challenges and drive impactful direction by removing decision making obstacles in end-to-end clinical development. Hear how AstraZeneca removed silo’d data streams, through a strategic deployment of digital health solutions, with an enterprise wide platform to empower teams across study design, planning, and study execution as well as providing enhanced insight to the entire senior leadership team.
Together we'll dive into the issues that continue to impact efficiencies in clinical lifecycle management and brainstorm how technology, including the use of artificial intelligence can be leveraged to drive next best actions across study design and planning and Enterprise Pipeline Management.
Are you a professional in the pharmaceutical sector? Do you spearhead a therapeutic division such as oncology, cardiovascular, or respiratory? Are you a leader in clinical development or clinical operations? Are you a digital leader supporting R&D? Or are you involved with Contract Research Organizations (CROs)? If so, this event is for you! Apply today as seats are limited.
This event is taking place at HLTH USA, Las Vegas.






































































































































