Overview
Joint workshop by IQCB and Fraunhofer IESE (Kaiserslautern) with involvement of the Institute of Molecular Biology, the ReALity Initiative and the Centre for Healthy Aging.
The workshop will explore how high-integrity software engineering can accelerate basic research and the clinical translation of advanced therapies. The short talks are aligned with the following thematic pillars:
1. The “Reliability Gap” in AI:
As AI gains prominence in research and we move toward AI-driven personalized digital health, how do we ensure safety, reliability, and reproducibility? How can high-integrity data engineering ensure that machine learning outcomes are reproducible and verifiable?
2. Digital Twins and Modeling Biological Complexity:
Where molecular modeling meets systems engineering to create predictive models for system- or patient-level responses.
3. Translating Advanced Therapy Medicinal Products (ATMPs) to the Bedside:
Mainz plays a prominent role in the development of gene therapy medicinal products, CAR-T cell workflows, and tissue regeneration. Moving from experimental protocols to standardized clinical products presents challenges where interdisciplinary interactions are often transformative.
4. Engineering for an Aging Society:
How can we better integrate personalized medicine into long-term care? We seek perspectives on developing AI solutions that remain robust and ethical when applied to the multi-morbidities of an aging population.
Please find the agenda here and register for the workshop here.
Venue: IMB Seminar Room, 2nd floor.
For further questions, please contact iqcb(at)uni-mainz.de or visit their website.