Emerging (Pre)clinical Predictive Models to Advance Translational Brain Research          

8 October 2025 | 16:20 - 17:35

The success rate for launching new active substances from Phase I studies remains critically low (<10%) for the period 2010 - 2017.[1] Among therapeutic areas, nervous system disorders belong to those with the lowest probability of success , largely due to the limited predictive power of current preclinical models. The complexity of the blood brain barrier and the intricacies of chronic neurological disorders further hinder the ability to replicate disease conditions in vitro. Additionally, effective drug delivery across the blood-brain barrier remains a major obstacle in developing new treatments. This session will explore how emerging technologies—such as organoids, targeted drug delivery via microspheres, imaging, and artificial intelligence—advance translational brain research. Emphasis will be put on improving the translation of preclinical findings to clinical applications. These technologies hold the potential to contribute, in combination with other technologies, to accelerate CNS drug development and improve therapeutic success rates.

[1] Dowden, H.; Munro, J. Trends in clinical success rates and therapeutic focus. Nat Rev Drug Discov 2019, 18 (7), 495-496. DOI: 10.1038/d41573-019-00074-z  From NLM.

Chairs: Imke Bartelink (NVZA) & Thom van der Made (UIPS)

Speakers: Marina Trombetta Lima (University of Groningen), Olivier Bequignon (LACDR), Twan Lammers (RWTH Aachen University Clinic)

FIGON Partners: NVKFB, NVZA & UIPS

Session Schedule

16:20 - 16:40Marina Trombetta Lima (University of Groningen): Modeling the aged brain through the microenvironment
16:40 - 17:00
Olivier Bequignon: Breaking Barriers: AI-Driven Cheminformatics for CNS Drug Discovery
17:00 - 17:20Prof. Twan Lammers (Uniklinik RWTH Aachen): Engineering Strategies to Improve Drug Delivery to the Brain
17:20 - 17:35
Selected Abstract Presentation

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