Background
With the vast improvements in computational resources, both from a hardware as well as software perspective, it has become possible to advance and accelerate biomedical research. Indeed, computational techniques have become a fundamental pillar of research, rendering the scientific method more efficient and facilitating collaboration across disciplines. In particular, experimental and medical/clinical researchers can effectively work with computational experts since computational models have increasingly gained in detail, accuracy and realism. Along those lines, biological systems such as the brain, skin or bacterial biofilms can be captured based on experimental data from different spatial and temporal scales. Moreover, state-of-the-art AI and bioinformatics models can be employed using large-scale data-sets, which is further facilitated by the increasing availability of public databases and practicality for collaboration across labs.
This workshop will allow researchers who work in computationally-assisted biomedical research to present their work, exchange ideas and ideally foster further collaboration.
Scope
The scope of this research topic includes any computational, biomedical engineering and/or bioinformatics methods that are applied to biomedical problems. Such problems should ideally focus on the biophysical and/or genetic processes that are relevant to a given biomedical topic, such as for instance cancer, cardiovascular disease, neurodevelopmental conditions, or neurodegenerative disorders. The application can be with regards to fundamental science, to better understand the underlying disease factors, or for computational diagnosis as well as treatment optimisation.