10-Oct-2023-Block-1 Seminars

7:00AM - 7:50AM

Registration and Networking

7:50AM - 8:00AM

Opening Remarks

Prishu Kagra, Conference Director, AMG World

8:00AM - 8:30AM

Using Predictive Models to Understand Trial Information from ClinicalTrials.gov

  • Overview of the ClinicalTrials.gov website and the value it can create for trials information
  • Leveraging analytics tools to mine data from completed trials
  • Identifying relationships between inclusion and exclusion criteria
  • Enabling meta analyses across trials


  • Peter Henstock Machine Learning & AI Lead: Combine AI, Software Engineering, Statistics & Visualization - Pfizer
8:30AM - 9:00AM

Digital Patient Recruitment: Smart Technology and Advanced Analytics to Streamline Recruitment, Retention, and Site Selection for Patients

  • Analyzing medical history, demographics, and health conditions to identify the right patient population for a trial
  • Reaching a broader, more diverse population through digital platforms to enhance the quality of recruitment
  • Improving patient retention in clinical trials with digital patient recruitment and support tools
  • Role of RWD for AI predictive models to enhance performance


9:00AM - 9:30AM

Enhancing and Interpreting Clinical Results with Electronic Patient Reported Outcomes (ePROs) and Mobile Apps

  • Monitoring patient adherence to ePROs and mobile apps to ensure correct data collection
  • Providing timely feedback to motivate patients to continue using these tools and guide treatment decisions
  • Incorporating ePROs and mobile apps into routine clinical care to enhance data collection
  • Leveraging data for deeper insights into symptoms, side effects, quality of life, and to guide treatment decisions
  • Ensuring compliance and regulations to ensure privacy and security
9:30AM - 10:10AM

First Technology Demonstrations

This session provides an additional opportunity to meet with our product and solution providers in the exhibition hall to learn more about the products, technology, and services that have been developed to solve some of your unique challenges. The technology demonstrations will last approximately 8 minutes on four cycles with the opportunity to ask questions immediately afterwards over the refreshment break.

10:10AM - 10:50AM

Networking Break and Exhibition