Overview

  • Date

    26. November 2026

    Thu 17:30 - 20:00

Intro

Experts discuss what truly works, what doesn’t, and needed advances for AI in clinical trials.

THE IDEA

People are curious about AI, but tired of everyone being an expert and of promises that didn't quite land. This event brings together the people who actually work with AI in clinical research to talk about what truly works, what doesn't, and what's still needed for it to deliver.

Clinical trials are a space where caution matters, because the end point is always the human. Innovation and data quality both matter enormously. The tone is calm and non-posh: a few honest talks, a panel with real audience interaction, and plenty of networking with apero. You cannot miss it!

MEET THE SPEAKERS

Pamela Dobay, Director of Strategic Partnerships & Clinical Solutions at Rivia, works at the heart of real-world data and data quality. She'll talk about getting real-world data ready for AI, and why quality has to come first, because good data is what makes AI actually deliver.

Andrea Oliveri, AI Capability & Integration Specialist at AstraZeneca, works on putting AI to use inside a large pharma organisation. He'll share the view from the inside: where AI genuinely helps in day-to-day work, and where it turns out trickier than the hype suggests.

Hosted by Fatima Dumicz, Senior Clinical Data Manager with almost 10 years across pharma, biotech and CRO.

THE DETAILS

Date: Thursday, 26 November 2026 Time: 17:30 - 20:00 Venue: Superlab, Schlieren In partnership with Superlab Suisse

Event information

Show Event information content
Contact address
Fatima Dumicz
0765190136
fatima.dumicz@gmail.com
Location Superlab Suisse
Zürcherstrasse 39D
8952 Schlieren
Switzerland
Price
Early Bird until 15.11.2026 35 CHF (regular price 45 CHF)
The content presented here is provided and updated by regional/local tourist offices or event organisers, which is why Switzerland Tourism is unable to guarantee the correctness of the contents.

Event dates

  • 26 November 2026

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Date

26. November 2026

Thu 17:30 - 20:00

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