The AGD Annual Meeting 2026 is designed for those who don't just discuss problems, but build solutions. Bringing together experts in genomic diagnostics, AI-driven phenotyping, and clinical bioinformatics, the meeting focuses on real challenges from clinical practice.
Through keynote talks, hands-on coding, and an open hackathon, participants will prototype, test, and refine ideas — and explore how to turn them into certified medical software.
Is there anything to win?
Yes, submit your poster abstract by September, 4.
How?
Send an email (best with your abstract) to info@agdev.de or use the web registration form below.
Program
Program as of Aug, 31 — subject to change
Wednesday, September 23
11:00–12:00 Screening of Posters in the Auditorium
12:00–13:00 Lunch Break and Opening of the Industrial Exhibition
13:00–13:15 Welcome and Opening of the Scientific Symposium — Peter Krawitz, IGSB Bonn
13:15–19:00 Session 1: Coding & Prototyping in the Age of AI
Session Chair: Peter Krawitz, IGSB Bonn
13:15–13:45 Orion Buske, PhenoTips, Toronto
Streamlining genomic mainstreaming with multimodal clinical input and PhenoTips
13:45–14:00 Alexander Vogel, Oxford Nanopore Sponsored Talk
TBA
14:00–14:10 Biobreak
14:10–14:35 Timon Heide & Anna Weyrich, Illumina Sponsored Talk
Advancing Genomics Through AI-Enabled Insights and Ready-to-Use Bioinformatics Solutions
14:35–15:15 Keynote: Cas Simons, Centre for Population Genomics, Australia
Talos – An open-source tool for scalable, iterative reanalysis of genomic data in rare disease
15:15–15:45 Julien Gagneur, TUM München
AI-Guided Variant Interpretation with Molecular and Clinical Data (tentative title)
15:45–16:15 David Garfield, Anthropic, San Francisco Sponsored Talk
Agentic analyses of functional variants
16:15–19:00 Hackathon
16:15–16:30 Kick-Off
16:30–17:00 Exercise for Onboarding (individual)
17:00–17:15 Q&A Session and Exercise
17:15–17:25 Group Formation (2 clinician-scientists + 2 bioinformaticians)
17:25–19:00 Group Work
20:00–22:00 Buffet & Networking Mixer
from 20:00 Panel Discussion: Working with AI in Medicine and Life Sciences