AntwerpHealth.AI
We are excited to invite you to the first edition of the AntwerpHealth.AI symposium.
When?
Tuesday 09/12Where?
Auditorium Kinsbergen, UZA (route 12)For who?
Price
FreeA symposium on data and AI innovation in healthcare
We are excited to invite you to the first edition of AntwerpHealth.AI – a symposium on data and AI innovation in healthcare.
Mark this event in your agenda, which features presentations on current AI & data-driven projects, flash talks, and opportunities to connect with colleagues in our UAntwerp/UZA ecosystem. Late registrations & walk-ins welcome: just send a mail to biomina@uantwerpen.be.
A collaboration between the PreMet consortium (UAntwerp), Data Innovation Lab (UZA), and Biomina Core Facility (UAntwerp).
Abstract submission
The deadline for submitting an abstract is 7 November 2025. You will be notified by the organization if your abstract is accepted.
Too late to submit? Feel free to contact biomina@uantwerpen.be.
Programme
13:00 - Registration
13:30 - Introduction by Kris Laukens & Philippe Jorens
First session (14:00 - 15:15)
14:00 - Elyne Scheurwegs & Geert Hellebaut (Data Innovation Lab, UZA)
OMOP for your research. An introduction.
14:15 - Annelies Verbiest (General Oncology, UZA)
Real-world evidence through network studies
14:30 - Pravesh Gurung (Data Innovation Lab, UZA)
Enabling Federated Clinical Research: OMOP CDM Implementation in FHIN
14:45 - Frederick De Baene & Hanne Derycke (Data Innovation Lab, UZA)
HEARTwise
15:00 - Flash presentations
- Paulien Vermunicht: Machine learning for reliable PPG heart rate data
- Jos Rozema: SyntEyes - Virtual twins of the human eye
- Mathias Huybrechts: Guidelines for neuroimaging AI for memory clinics
- Renée Spoelman: Multi-omics prediction of ICI response in NSCLC
Break (15:15 - 15:45)
Second session (15:45 - 17:15)
15:45 - Pieter Meysman (Adrem Data Lab, UAntwerpen)
Decoding the adaptive immune system using artificial intelligence
16:00 - Ewa Sieliwonczyk (Center of Medical Genetics, UAntwerpen)
Artificial Intelligence Enhanced Electrocardiography
16:15 - Stig Hellemans (Adrem Data Lab, UAntwerpen)
Training AI on medical texts
16:30 - Kim Van Hoorenbeeck (TWI²N, UAntwerpen)
How data driven research improves quality of care in children with asthma
16:45 - Wout Bittremieux (Adrem Data Lab, UAntwerpen)
Understanding the molecular phenotype with AI for proteomics and metabolomics
17:00 - Flash presentations
- Ceder Dens: De novo peptide sequencing for immunopeptidomics
- Moira Breëns: Healthy aging and the TCR repertoire
- Remco van Schadewijk: ExplainMed: Specialised AI to Turn Cardiology Letters into Patient-Friendly Information