Background
Biological systems are usually very complex, due to the entanglement of a multitude of processes on various spatial and temporal scales. With the vast improvements in computational resources, both from a hardware as well as software perspective, it has become possible to advance and accelerate biological and biomedical research. Indeed, computational techniques have become a fundamental pillar of research. Experimental and medical/clinical researchers can effectively work together with computational experts due to the detail and realism of state-of-the-art computational approaches. Along those lines, biological systems such as the brain, the immune system or specific organs can be characterised with ever-growing experimental datasets. Moreover, state-of-the-art AI and bioinformatics tools can be leveraged in combination with data from public databases and large-scale collaborative initiatives.
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 biological or biomedical problems. Such problems should ideally focus on the biophysical and/or genetic processes that are relevant to a given setting, 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.
We expect the participants to consider relevance for different research communities, and formulate the research in a language that can be communicated within interdisciplinary settings.
Agenda
An agenda will be made available nearer the time.