Real-World data, Machine learning and Deep analytics in rare diseases: Regulatory grade data collection for marketing authorization submissions – what is buzz, what is realistic?

This webinar explored how to plan and generate high‑quality data for rare‑disease drug development, the tools that support robust evidence generation, and key insights on emerging technologies from experts and patient voices.

Materials
available

THIS IS AN
ERDERA TRAINING

Lecturers:
Marc Van Dijk (UCB Pharma)
Luis Pinheiro (European Medicines Agency)

During this webinar speakers, panelists and participants discussed:

  • How to plan for the data needs for the future of medicine development for rare diseases.
  • How to anticipate the scope, depth, and quality of data that will be required to generate reliable evidence suitable for regulatory use cases.
  • The tools that are available to make data collection accessible for these uses.

Video timestamps:

  • Keynote presentations
    00:00:01 Marc Van Dijk (UCB): Data and technologies that offer solutions for challenges in rare diseases
    00:22:15 Luis Pinheiro (EMA): From Data to Decision
  • Panel discussion (highlights on some questions discussed)
    (Jose/patient, Cécile/regulatory science, Meelis/tech developer, Dinko & Tom/drug developers, Luis/regulator)
    00:48:05 Points to consider when using new technologies to generate robust data
    01:01:27 Solutions to develop better data (technologies and examples)
    01:03:30 Synthetic data (part 1: context of use, value)
    01:06:40 AI doctor (scientific and regulatory validation)
    01:07:22 Synthetic data (part 2: regulator’s perspective)
    01:08:27 AI doctor (acceptability of technologies, patient perspective)
    01:10:35 Conventional methods vs. New technologies and methods
    01:12:02 Data protection aspects when generating regulatory evidence
    01:13:36 Pre-competitive collaboration to de-risk and accelerate progress
    01:15:55 Evolution of technology and its limitation
    01:18:12 Blockchain in drug development
    01:19:20 Key principles/imperatives from understanding the disease up to regulatory context
    01:28:45 Interplay between medicines and medtech and AI regulations
    01:31:50 Patient perspective on digital health technologies
    01:33:05 Take home message – recommendations from the panel
webinar