Fraunhofer Institute for Algorithms and Scientific Computing SCAIDay 1 – June 23, 2025
Data Ecosystems, Data Spaces and Platforms for Federated Data Analysis
Impressions
Prof. Dr. Martin Hofmann-Apitius
Introduction and welcome
Federated Learning
Prof. Dr. med. Joachim Schultze
Keynote I: Data visiting in medicine, a shift towards real-world collaboration
Prof. Dr. med. Christoph Klein / Dr. Marc Jacobs
A data research platform comprising clinical and molecular data of prospective studies
Requirements and Implementations
Robin Röhm / Prof. Dr. Frederik Buijs
Federated Learning in Healthcare: A New Era of AI-Driven Scientific Discovery
Dr. med. Christian Muehlendyck
IDERHA: Driving Secure Health Data Access and Enabling Federated AI Solutions aligned with the EHDS Requirements
Dr. Elke Nelson-Nichols
Federated Computing as a Catalyst for Scientific Research
Large-scale Platforms
Rudi Schmidt
Keynote II: "The Devil is in the Details" of Clinical and Omics Data Classes in Large Scale Platforms
PD Dr. Christian Stephan
Data are Health, and Digital Twins are the Future of AI in Modern Treatments
Timo Kanninen
Using AI for streamlining health data discovery, access application and release processes for EHDS regulated research
Society and Future
Bart de Witte
Biotech’s Open Rebellion: How AI Agents Are Breaking the Patent Chains and are Building a Personalized Future
PD Dr. med. Theodor Rüber
Ethical & legal hurdles for medical data collaboration
Dr. Djork-Arné Clevert
Generative Models for Drug Discovery
Dr. Niklas Blomberg
IHI and the expectations of IHI towards the EHDS
Day 2 – June 24, 2025
AI Applications in Pharma and Medicine
Prof. Dr. Holger Fröhlich
Introduction and welcome
AI in Digital Medicine
Edina Timkó
AI Innovations: Transforming Medical Imaging and Shaping the Future of Healthcare
Guillaume de Decker
Q1.6 – Predicting Patient Behavior to Improve Clinical Trial Retention
Paulus Carpelan
Value of real-world data in clinical use – case Parkinson’s disease
AI in Precision Medicine
Dr. Johann de Jong
Patient representation learning from real-world data: from target discovery to clinical development
Dr. Carsten Magnus
Medical Value Algorithms for Diagnostics and Improvement of Care Along the Patient Journey
AI in Clinical Trials
Dr. Sven Mensing
Utilization of AI/ML in Clinical Pharmacology to improve clinical decision making
Dr. Gunther Jansen
Applications of AI in drug development: the Catch-22 of simplification and generalizability
Further AI Topics
Dr. Ashar Ahmad
LLM use-cases in Drug Development
Dr. Christian Bender
Cardiac magnetic resonance imaging for target identification and precision medicine
Dr. Andrew Bissette
An editorial perspective on AI and publishing
