Optimizing Clinical Trials at Health Systems: The Opportunity for AI

Oct

7:00pm

Optimizing Clinical Trials at Health Systems: The Opportunity for AI

By Center for Connected Medicine

Are you curious about the potentially transformative role that artificial intelligence (AI) can play in clinical trials?

We invite you to join leading experts who will dive into the exciting possibilities that AI is bringing to the world of medical research.

Register to watch the panel discussion by clicking the green CLICK TO REGISTER button in the upper right corner. Then confirm your registration via email.

The expert panel discussion, brought to you by the Institute for Precision Medicine (IPM) and Center for Connected Medicine’s (CCM), will leverage key findings from the CCM’s Optimizing Clinical Trials at Health Systems research report.

Engage in a lively Q&A with our distinguished panelists:
Matthew Lunning, Assistant Vice Chancellor of Clinical Research, University of Nebraska Medical Center
Stefan Harrer, Director, AI for Science, CSIRO’s Data61
Aaron Brauser, CEO, Realyze Intelligence
Nicole Ansani, Senior Vice President, New Development Initiatives, UPMC Enterprises (Moderator)
Discussion Topics
Current uses cases covering the successful application of AI in clinical trials.
Opportunities to leverage AI in following areas: pre-clinical research, design, and clinical trial patient recruitment and management.
Overcoming challenges, including ethical concerns, biases in data sets, data availability, and lack of regulatory guidance.
Why Attend?
Stay Ahead: Be at the forefront of AI-driven clinical trials innovation.
Network: Connect with industry leaders, researchers, and practitioners.
Inspiration: Gain insights that can shape the future of clinical trials.
Next Steps
REGISTER: Join this groundbreaking conversation.
PREPARE: Download the Center for Connected Medicine’s Optimizing Clinical Trials at Health Systems research report.
LEARN: More about the discussion hosts the Institute for Precision Medicine and Center for Connected Medicine.

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Center for Connected Medicine