Understanding complex biological systems requires more than data, it demands mechanistic insight. This conference highlights how mechanistic models can integrate clinical and experimental data with computational approaches.
The volume and complexity of life science data are growing at an unprecedented pace. While computational tools are increasingly used to structure and analyze these data, there remains a critical gap in our ability to understand the data in a mechanistic and physically realistic way. Bridging this gap is essential for uncovering the fundamental principles that govern the function of molecules, cells, organs, and entire organisms.
Mechanistic models play a central role in this effort and are key to advancing applications such as the development of new pharmaceuticals and improved clinical interventions. However, progress is often hindered by the lack of a shared language between experimental scientists, clinicians, and computational researchers.
This conference will bring together experts from these fields to explore state-of-the-art tools and methodologies, discuss how they can be effectively applied, and foster stronger integration across disciplines. By promoting collaboration and mutual understanding, the meeting aims to accelerate progress in pharmacology, physiology, and neuroscience.
The conference is organized by SciLifeLab in partnership with the National Committee for Pharmacology, Physiology and Neuroscience of the Royal Swedish Academy of Sciences.
View the program and register here. Registration closes on October 25.
Contact: Veronika Eriksson
Email: program@kva.se