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Transforming Clinical Trials through AI/ML Virtual Roundtable

9 March 2023 | Online

11am-12pm EST / 4pm-5pm GMT

Leveraging AI/ML for data collection and management has the power to accelerate the clinical trials process, increase speed and enhance patient-engagement. Whilst the benefits are clear, many life sciences haven’t even scratched the surface of AI’s potential.

This panel discussion will examine the major barriers to large scale adoption, as well as best practice strategies to identify suitable use cases and implement AI within clinical trials and scale at pace.

Learn From Our Panel of Clinical Trials Experts

Emilie Louvet of AstraZeneca speaking at AMG World

Emilie Louvet

Director, Clinical Information Science

AstraZeneca

Jen Yip of Novartis speaking at AMG World

Jen Yip

Associate Director, Digital Trials & Patient Engagement

Novartis

Stephen Lutsch of LEO Pharma speaking at AMG World

Stephen Lutsch

Director of Clinical Trials

LEO Pharma

This summit will provide you with the necessary tools to:

  • Promises and limitations of AI approaches: How will AI impact each stage of clinical trials and how will the technology continue to advance
  • Improving trial predictability: Leveraging AI-powered analytics to guide trial design, strategy, and operations
  • AI benefits in site selection, patient identification and clinical trial recruitment
  • Risk-based monitoring (RBM): Enhancing patient centricity and clinical innovation through technology
  • Using AI predictive models and analytics tools to sort and structure real-world data
  • Change management and workforce transformation: Attracting talent, up-skilling, cross-skilling and evolving the workforce
  • How to transition from AI POC to full scale deployment

Who you will meet:

VPs, Directors, Global Heads of

  • AI/ML/Clinical AI
  • Data/Data Science/Analytics
  • Statistics/Statistical Analysis/Quantitative Science
  • Innovation
  • Clinical Trials/Clinical Research/ Clinical Development
  • Clinical Monitoring/ Clinical Operations
  • Patient recruitment & Retention

Get in touch to be positioned as a thought leader in AI for Clinical Trials